feat: BYOP provider + tunnel wizard + SVG architecture diagram
Custom Provider (Bring Your Own): - Add custom:URL format to provider factory (any OpenAI-compatible API) - Works with LiteLLM, LocalAI, vLLM, text-generation-webui, LM Studio, etc. - Example: default_provider = 'custom:http://localhost:1234' - 4 new tests for custom provider (URL, localhost, no-key, empty-URL error) Setup Wizard (6 steps, 5-year-old friendly): - Add '🔧 Custom' tier to provider selection with guided BYOP flow - Add Step 4: Tunnel setup (Cloudflare, Tailscale, ngrok, Custom, or skip) - Emoji labels on all provider categories for visual clarity - Renumber wizard to 6 steps (was 5) Architecture Diagram: - New SVG diagram at docs/architecture.svg (dark theme, color-coded) - Shows: Chat Apps → Security → Agent Loop → AI Providers - Shows: Tunnel layer, Sandbox, Context, Heartbeat/Cron - Shows: Setup Wizard 6-step flow at bottom - Replace ASCII art in README with SVG embed 657 tests passing, 0 clippy warnings, cargo fmt clean
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argenis de la rosa
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4 changed files with 516 additions and 60 deletions
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@ -55,19 +55,22 @@ pub fn run_wizard() -> Result<Config> {
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);
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println!();
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print_step(1, 5, "Workspace Setup");
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print_step(1, 6, "Workspace Setup");
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let (workspace_dir, config_path) = setup_workspace()?;
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print_step(2, 5, "AI Provider & API Key");
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print_step(2, 6, "AI Provider & API Key");
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let (provider, api_key, model) = setup_provider()?;
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print_step(3, 5, "Channels (How You Talk to ZeroClaw)");
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print_step(3, 6, "Channels (How You Talk to ZeroClaw)");
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let channels_config = setup_channels()?;
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print_step(4, 5, "Project Context (Personalize Your Agent)");
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print_step(4, 6, "Tunnel (Expose to Internet)");
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let tunnel_config = setup_tunnel()?;
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print_step(5, 6, "Project Context (Personalize Your Agent)");
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let project_ctx = setup_project_context()?;
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print_step(5, 5, "Workspace Files");
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print_step(6, 6, "Workspace Files");
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scaffold_workspace(&workspace_dir, &project_ctx)?;
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// ── Build config ──
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@ -93,7 +96,7 @@ pub fn run_wizard() -> Result<Config> {
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heartbeat: HeartbeatConfig::default(),
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channels_config,
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memory: MemoryConfig::default(), // SQLite + auto-save by default
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tunnel: crate::config::TunnelConfig::default(),
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tunnel: tunnel_config,
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};
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println!(
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@ -208,11 +211,12 @@ fn setup_workspace() -> Result<(PathBuf, PathBuf)> {
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fn setup_provider() -> Result<(String, String, String)> {
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// ── Tier selection ──
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let tiers = vec![
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"Recommended (OpenRouter, Venice, Anthropic, OpenAI)",
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"Fast inference (Groq, Fireworks, Together AI)",
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"Gateway / proxy (Vercel AI, Cloudflare AI, Amazon Bedrock)",
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"Specialized (Moonshot/Kimi, GLM/Zhipu, MiniMax, Qianfan, Z.AI, Synthetic, OpenCode Zen, Cohere)",
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"Local / private (Ollama — no API key needed)",
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"⭐ Recommended (OpenRouter, Venice, Anthropic, OpenAI)",
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"⚡ Fast inference (Groq, Fireworks, Together AI)",
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"🌐 Gateway / proxy (Vercel AI, Cloudflare AI, Amazon Bedrock)",
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"🔬 Specialized (Moonshot/Kimi, GLM/Zhipu, MiniMax, Qianfan, Z.AI, Synthetic, OpenCode Zen, Cohere)",
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"🏠 Local / private (Ollama — no API key needed)",
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"🔧 Custom — bring your own OpenAI-compatible API",
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];
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let tier_idx = Select::new()
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@ -255,9 +259,53 @@ fn setup_provider() -> Result<(String, String, String)> {
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("opencode", "OpenCode Zen — code-focused AI"),
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("cohere", "Cohere — Command R+ & embeddings"),
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],
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_ => vec![("ollama", "Ollama — local models (Llama, Mistral, Phi)")],
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4 => vec![("ollama", "Ollama — local models (Llama, Mistral, Phi)")],
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_ => vec![], // Custom — handled below
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};
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// ── Custom / BYOP flow ──
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if providers.is_empty() {
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println!();
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println!(
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" {} {}",
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style("Custom Provider Setup").white().bold(),
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style("— any OpenAI-compatible API").dim()
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);
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print_bullet("ZeroClaw works with ANY API that speaks the OpenAI chat completions format.");
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print_bullet("Examples: LiteLLM, LocalAI, vLLM, text-generation-webui, LM Studio, etc.");
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println!();
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let base_url: String = Input::new()
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.with_prompt(" API base URL (e.g. http://localhost:1234 or https://my-api.com)")
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.interact_text()?;
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let base_url = base_url.trim().trim_end_matches('/').to_string();
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if base_url.is_empty() {
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anyhow::bail!("Custom provider requires a base URL.");
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}
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let api_key: String = Input::new()
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.with_prompt(" API key (or Enter to skip if not needed)")
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.allow_empty(true)
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.interact_text()?;
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let model: String = Input::new()
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.with_prompt(" Model name (e.g. llama3, gpt-4o, mistral)")
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.default("default".into())
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.interact_text()?;
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let provider_name = format!("custom:{base_url}");
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println!(
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" {} Provider: {} | Model: {}",
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style("✓").green().bold(),
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style(&provider_name).green(),
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style(&model).green()
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);
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return Ok((provider_name, api_key, model));
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}
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let provider_labels: Vec<&str> = providers.iter().map(|(_, label)| *label).collect();
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let provider_idx = Select::new()
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@ -1055,6 +1103,159 @@ fn setup_channels() -> Result<ChannelsConfig> {
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Ok(config)
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}
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// ── Step 4: Tunnel ──────────────────────────────────────────────
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#[allow(clippy::too_many_lines)]
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fn setup_tunnel() -> Result<crate::config::TunnelConfig> {
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use crate::config::schema::{
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CloudflareTunnelConfig, CustomTunnelConfig, NgrokTunnelConfig, TailscaleTunnelConfig,
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TunnelConfig,
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};
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print_bullet("A tunnel exposes your gateway to the internet securely.");
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print_bullet("Skip this if you only use CLI or local channels.");
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println!();
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let options = vec![
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"Skip — local only (default)",
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"Cloudflare Tunnel — Zero Trust, free tier",
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"Tailscale — private tailnet or public Funnel",
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"ngrok — instant public URLs",
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"Custom — bring your own (bore, frp, ssh, etc.)",
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];
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let choice = Select::new()
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.with_prompt(" Select tunnel provider")
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.items(&options)
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.default(0)
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.interact()?;
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let config = match choice {
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1 => {
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println!();
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print_bullet("Get your tunnel token from the Cloudflare Zero Trust dashboard.");
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let token: String = Input::new()
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.with_prompt(" Cloudflare tunnel token")
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.interact_text()?;
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if token.trim().is_empty() {
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println!(" {} Skipped", style("→").dim());
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TunnelConfig::default()
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} else {
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println!(
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" {} Tunnel: {}",
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style("✓").green().bold(),
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style("Cloudflare").green()
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);
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TunnelConfig {
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provider: "cloudflare".into(),
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cloudflare: Some(CloudflareTunnelConfig { token }),
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..TunnelConfig::default()
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}
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}
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}
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2 => {
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println!();
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print_bullet("Tailscale must be installed and authenticated (tailscale up).");
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let funnel = Confirm::new()
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.with_prompt(" Use Funnel (public internet)? No = tailnet only")
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.default(false)
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.interact()?;
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println!(
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" {} Tunnel: {} ({})",
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style("✓").green().bold(),
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style("Tailscale").green(),
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if funnel {
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"Funnel — public"
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} else {
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"Serve — tailnet only"
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}
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);
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TunnelConfig {
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provider: "tailscale".into(),
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tailscale: Some(TailscaleTunnelConfig {
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funnel,
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hostname: None,
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}),
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..TunnelConfig::default()
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}
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}
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3 => {
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println!();
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print_bullet(
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"Get your auth token at https://dashboard.ngrok.com/get-started/your-authtoken",
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);
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let auth_token: String = Input::new()
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.with_prompt(" ngrok auth token")
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.interact_text()?;
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if auth_token.trim().is_empty() {
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println!(" {} Skipped", style("→").dim());
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TunnelConfig::default()
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} else {
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let domain: String = Input::new()
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.with_prompt(" Custom domain (optional, Enter to skip)")
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.allow_empty(true)
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.interact_text()?;
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println!(
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" {} Tunnel: {}",
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style("✓").green().bold(),
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style("ngrok").green()
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);
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TunnelConfig {
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provider: "ngrok".into(),
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ngrok: Some(NgrokTunnelConfig {
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auth_token,
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domain: if domain.is_empty() {
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None
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} else {
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Some(domain)
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},
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}),
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..TunnelConfig::default()
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}
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}
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}
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4 => {
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println!();
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print_bullet("Enter the command to start your tunnel.");
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print_bullet("Use {port} and {host} as placeholders.");
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print_bullet("Example: bore local {port} --to bore.pub");
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let cmd: String = Input::new()
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.with_prompt(" Start command")
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.interact_text()?;
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if cmd.trim().is_empty() {
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println!(" {} Skipped", style("→").dim());
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TunnelConfig::default()
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} else {
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println!(
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" {} Tunnel: {} ({})",
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style("✓").green().bold(),
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style("Custom").green(),
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style(&cmd).dim()
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);
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TunnelConfig {
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provider: "custom".into(),
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custom: Some(CustomTunnelConfig {
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start_command: cmd,
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health_url: None,
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url_pattern: None,
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}),
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..TunnelConfig::default()
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}
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}
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}
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_ => {
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println!(
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" {} Tunnel: {}",
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style("✓").green().bold(),
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style("none (local only)").dim()
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);
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TunnelConfig::default()
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}
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};
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Ok(config)
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}
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// ── Step 6: Scaffold workspace files ─────────────────────────────
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#[allow(clippy::too_many_lines)]
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