Rename LiteLLM backend to OpenAI Compatible

Reflects that this backend works with any OpenAI API-compatible endpoint
(LiteLLM, OpenRouter, vLLM, text-generation-inference, LocalAI, etc.),
not just LiteLLM. Includes serde aliases for backward compatibility with
existing projects.json files.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

CLAUDE.md

@@ -72,7 +72,7 @@ docker exec stdout → tokio task → emit("terminal-output-{sessionId}") → li
   - `container.rs` — Container lifecycle (create, start, stop, remove, inspect)
   - `exec.rs` — PTY exec sessions with bidirectional stdin/stdout streaming
   - `image.rs` — Image build/pull with progress streaming
-- **`models/`** — Serde structs (`Project`, `Backend`, `BedrockConfig`, `OllamaConfig`, `LiteLlmConfig`, `ContainerInfo`, `AppSettings`). These define the IPC contract with the frontend.
+- **`models/`** — Serde structs (`Project`, `Backend`, `BedrockConfig`, `OllamaConfig`, `OpenAiCompatibleConfig`, `ContainerInfo`, `AppSettings`). These define the IPC contract with the frontend.
 - **`storage/`** — Persistence: `projects_store.rs` (JSON file with atomic writes), `secure.rs` (OS keychain via `keyring` crate), `settings_store.rs`
 
 ### Container (`container/`)
@@ -91,7 +91,7 @@ Per-project, independently configured:
 - **Anthropic (OAuth)** — `claude login` in terminal, token persists in config volume
 - **AWS Bedrock** — Static keys, profile, or bearer token injected as env vars
 - **Ollama** — Connect to a local or remote Ollama server via `ANTHROPIC_BASE_URL` (e.g., `http://host.docker.internal:11434`)
-- **LiteLLM** — Connect through a LiteLLM proxy gateway via `ANTHROPIC_BASE_URL` + `ANTHROPIC_AUTH_TOKEN` to access 100+ model providers
+- **OpenAI Compatible** — Connect through any OpenAI API-compatible endpoint (LiteLLM, OpenRouter, vLLM, etc.) via `ANTHROPIC_BASE_URL` + `ANTHROPIC_AUTH_TOKEN`
 
 ## Styling
 

HOW-TO-USE.md

@@ -14,7 +14,7 @@ Triple-C (Claude-Code-Container) is a desktop application that runs Claude Code
 - [MCP Servers (Beta)](#mcp-servers-beta)
 - [AWS Bedrock Configuration](#aws-bedrock-configuration)
 - [Ollama Configuration](#ollama-configuration)
-- [LiteLLM Configuration](#litellm-configuration)
+- [OpenAI Compatible Configuration](#openai-compatible-configuration)
 - [Settings](#settings)
 - [Terminal Features](#terminal-features)
 - [Scheduled Tasks (Inside the Container)](#scheduled-tasks-inside-the-container)
@@ -53,7 +53,7 @@ You need access to Claude Code through one of:
 - **Anthropic account** — Sign up at https://claude.ai and use `claude login` (OAuth) inside the terminal
 - **AWS Bedrock** — An AWS account with Bedrock access and Claude models enabled
 - **Ollama** — A local or remote Ollama server running an Anthropic-compatible model (best-effort support)
-- **LiteLLM** — A LiteLLM proxy gateway providing access to 100+ model providers (best-effort support)
+- **OpenAI Compatible** — Any OpenAI API-compatible endpoint (LiteLLM, OpenRouter, vLLM, text-generation-inference, LocalAI, etc.) (best-effort support)
 
 ---
 
@@ -113,14 +113,15 @@ Claude Code launches automatically with `--dangerously-skip-permissions` inside
 
 1. Stop the container first (settings can only be changed while stopped).
 2. In the project card, switch the backend to **Ollama**.
-3. Expand the **Config** panel and set the base URL of your Ollama server (defaults to `http://host.docker.internal:11434` for a local instance). Optionally set a model ID.
-4. Start the container again.
+3. Expand the **Config** panel and set the base URL of your Ollama server (defaults to `http://host.docker.internal:11434` for a local instance). Set the **Model ID** to the model you want to use (required).
+4. Make sure the model has been pulled in Ollama (e.g., `ollama pull qwen3.5:27b`) or used via Ollama cloud before starting.
+5. Start the container again.
 
-**LiteLLM:**
+**OpenAI Compatible:**
 
 1. Stop the container first (settings can only be changed while stopped).
-2. In the project card, switch the backend to **LiteLLM**.
-3. Expand the **Config** panel and set the base URL of your LiteLLM proxy (defaults to `http://host.docker.internal:4000`). Optionally set an API key and model ID.
+2. In the project card, switch the backend to **OpenAI Compatible**.
+3. Expand the **Config** panel and set the base URL of your OpenAI-compatible endpoint (defaults to `http://host.docker.internal:4000` as an example). Optionally set an API key and model ID.
 4. Start the container again.
 
 ---
@@ -414,7 +415,7 @@ To use Claude Code with a local or remote Ollama server, switch the backend to *
 ### Settings
 
 - **Base URL** — The URL of your Ollama server. Defaults to `http://host.docker.internal:11434`, which reaches a locally running Ollama instance from inside the container. For a remote server, use its IP or hostname (e.g., `http://192.168.1.100:11434`).
-- **Model ID** — Optional. Override the model to use (e.g., `qwen3.5:27b`).
+- **Model ID** — **Required.** The model to use (e.g., `qwen3.5:27b`). The model must be pulled in Ollama before use — run `ollama pull <model>` or use it via Ollama cloud so it is available when the container starts.
 
 ### How It Works
 
@@ -422,23 +423,25 @@ Triple-C sets `ANTHROPIC_BASE_URL` to point Claude Code at your Ollama server in
 
 > **Note:** Ollama support is best-effort. Claude Code is designed for Anthropic models, so some features (tool use, extended thinking, prompt caching, etc.) may not work as expected with non-Anthropic models.
 
+> **Important:** The model must already be available in Ollama before starting the container. If using a local Ollama instance, pull the model first with `ollama pull <model-name>`. If using Ollama's cloud service, ensure the model has been used at least once so it is cached.
+
 ---
 
-## LiteLLM Configuration
+## OpenAI Compatible Configuration
 
-To use Claude Code through a [LiteLLM](https://docs.litellm.ai/) proxy gateway, switch the backend to **LiteLLM** on the project card. LiteLLM supports 100+ model providers (OpenAI, Gemini, Anthropic, and more) through a single proxy.
+To use Claude Code through any OpenAI API-compatible endpoint, switch the backend to **OpenAI Compatible** on the project card. This works with any server that exposes an OpenAI-compatible API, including LiteLLM, OpenRouter, vLLM, text-generation-inference, LocalAI, and others.
 
 ### Settings
 
-- **Base URL** — The URL of your LiteLLM proxy. Defaults to `http://host.docker.internal:4000` for a locally running proxy.
-- **API Key** — Optional. The API key for your LiteLLM proxy, if authentication is required. Stored securely in your OS keychain.
+- **Base URL** — The URL of your OpenAI-compatible endpoint. Defaults to `http://host.docker.internal:4000` as an example (adjust to match your server's address and port).
+- **API Key** — Optional. The API key for your endpoint, if authentication is required. Stored securely in your OS keychain.
 - **Model ID** — Optional. Override the model to use.
 
 ### How It Works
 
-Triple-C sets `ANTHROPIC_BASE_URL` to point Claude Code at your LiteLLM proxy. If an API key is provided, it is set as `ANTHROPIC_AUTH_TOKEN`.
+Triple-C sets `ANTHROPIC_BASE_URL` to point Claude Code at your OpenAI-compatible endpoint. If an API key is provided, it is set as `ANTHROPIC_AUTH_TOKEN`.
 
-> **Note:** LiteLLM support is best-effort. Claude Code is designed for Anthropic models, so some features (tool use, extended thinking, prompt caching, etc.) may not work as expected when routing to non-Anthropic models through the proxy.
+> **Note:** OpenAI Compatible support is best-effort. Claude Code is designed for Anthropic models, so some features (tool use, extended thinking, prompt caching, etc.) may not work as expected when routing to non-Anthropic models through the endpoint.
 
 ---
 
@@ -491,6 +494,10 @@ When Claude Code prints a long URL (e.g., during `claude login`), Triple-C detec
 
 Shorter URLs in terminal output are also clickable directly.
 
+### Copying and Pasting
+
+Use **Ctrl+Shift+C** (or **Cmd+C** on macOS) to copy selected text from the terminal, and **Ctrl+Shift+V** (or **Cmd+V** on macOS) to paste. This follows standard terminal emulator conventions since Ctrl+C is reserved for sending SIGINT.
+
 ### Clipboard Support (OSC 52)
 
 Programs inside the container can copy text to your host clipboard. When a container program uses `xclip`, `xsel`, or `pbcopy`, the text is transparently forwarded to your host clipboard via OSC 52 escape sequences. No additional configuration is required — this works out of the box.

README.md

@@ -49,10 +49,10 @@ Each project can independently use one of:
 
 - **Anthropic** (OAuth): User runs `claude login` inside the terminal on first use. Token persisted in the config volume across restarts and resets.
 - **AWS Bedrock**: Per-project AWS credentials (static keys, profile, or bearer token). SSO sessions are validated before launching Claude for Profile auth.
-- **Ollama**: Connect to a local or remote Ollama server via `ANTHROPIC_BASE_URL` (e.g., `http://host.docker.internal:11434`). Optional model override.
-- **LiteLLM**: Connect through a LiteLLM proxy gateway via `ANTHROPIC_BASE_URL` + `ANTHROPIC_AUTH_TOKEN` to access 100+ model providers. API key stored securely in OS keychain.
+- **Ollama**: Connect to a local or remote Ollama server via `ANTHROPIC_BASE_URL` (e.g., `http://host.docker.internal:11434`). Requires a model ID, and the model must be pulled (or used via Ollama cloud) before starting the container.
+- **OpenAI Compatible**: Connect through any OpenAI API-compatible endpoint (LiteLLM, OpenRouter, vLLM, text-generation-inference, LocalAI, etc.) via `ANTHROPIC_BASE_URL` + `ANTHROPIC_AUTH_TOKEN`. API key stored securely in OS keychain.
 
-> **Note:** Ollama and LiteLLM support is best-effort. Claude Code is designed for Anthropic models, so some features (tool use, extended thinking, prompt caching, etc.) may not work as expected with non-Anthropic models behind these backends.
+> **Note:** Ollama and OpenAI Compatible support is best-effort. Claude Code is designed for Anthropic models, so some features (tool use, extended thinking, prompt caching, etc.) may not work as expected with non-Anthropic models behind these backends.
 
 ### Container Spawning (Sibling Containers)
 

app/src-tauri/src/commands/project_commands.rs

@@ -34,9 +34,9 @@ fn store_secrets_for_project(project: &Project) -> Result<(), String> {
             secure::store_project_secret(&project.id, "aws-bearer-token", v)?;
         }
     }
-    if let Some(ref litellm) = project.litellm_config {
-        if let Some(ref v) = litellm.api_key {
-            secure::store_project_secret(&project.id, "litellm-api-key", v)?;
+    if let Some(ref oai_config) = project.openai_compatible_config {
+        if let Some(ref v) = oai_config.api_key {
+            secure::store_project_secret(&project.id, "openai-compatible-api-key", v)?;
         }
     }
     Ok(())
@@ -56,8 +56,8 @@ fn load_secrets_for_project(project: &mut Project) {
         bedrock.aws_bearer_token = secure::get_project_secret(&project.id, "aws-bearer-token")
             .unwrap_or(None);
     }
-    if let Some(ref mut litellm) = project.litellm_config {
-        litellm.api_key = secure::get_project_secret(&project.id, "litellm-api-key")
+    if let Some(ref mut oai_config) = project.openai_compatible_config {
+        oai_config.api_key = secure::get_project_secret(&project.id, "openai-compatible-api-key")
             .unwrap_or(None);
     }
 }
@@ -197,11 +197,11 @@ pub async fn start_project_container(
         }
     }
 
-    if project.backend == Backend::LiteLlm {
-        let litellm = project.litellm_config.as_ref()
-            .ok_or_else(|| "LiteLLM backend selected but no LiteLLM configuration found.".to_string())?;
-        if litellm.base_url.is_empty() {
-            return Err("LiteLLM base URL is required.".to_string());
+    if project.backend == Backend::OpenAiCompatible {
+        let oai_config = project.openai_compatible_config.as_ref()
+            .ok_or_else(|| "OpenAI Compatible backend selected but no configuration found.".to_string())?;
+        if oai_config.base_url.is_empty() {
+            return Err("OpenAI Compatible base URL is required.".to_string());
         }
     }
 

app/src-tauri/src/docker/container.rs

@@ -244,13 +244,13 @@ fn compute_ollama_fingerprint(project: &Project) -> String {
     }
 }
 
-/// Compute a fingerprint for the LiteLLM configuration so we can detect changes.
-fn compute_litellm_fingerprint(project: &Project) -> String {
-    if let Some(ref litellm) = project.litellm_config {
+/// Compute a fingerprint for the OpenAI Compatible configuration so we can detect changes.
+fn compute_openai_compatible_fingerprint(project: &Project) -> String {
+    if let Some(ref config) = project.openai_compatible_config {
         let parts = vec![
-            litellm.base_url.clone(),
-            litellm.api_key.as_deref().unwrap_or("").to_string(),
-            litellm.model_id.as_deref().unwrap_or("").to_string(),
+            config.base_url.clone(),
+            config.api_key.as_deref().unwrap_or("").to_string(),
+            config.model_id.as_deref().unwrap_or("").to_string(),
         ];
         sha256_hex(&parts.join("|"))
     } else {
@@ -516,14 +516,14 @@ pub async fn create_container(
         }
     }
 
-    // LiteLLM configuration
-    if project.backend == Backend::LiteLlm {
-        if let Some(ref litellm) = project.litellm_config {
-            env_vars.push(format!("ANTHROPIC_BASE_URL={}", litellm.base_url));
-            if let Some(ref key) = litellm.api_key {
+    // OpenAI Compatible configuration
+    if project.backend == Backend::OpenAiCompatible {
+        if let Some(ref config) = project.openai_compatible_config {
+            env_vars.push(format!("ANTHROPIC_BASE_URL={}", config.base_url));
+            if let Some(ref key) = config.api_key {
                 env_vars.push(format!("ANTHROPIC_AUTH_TOKEN={}", key));
             }
-            if let Some(ref model) = litellm.model_id {
+            if let Some(ref model) = config.model_id {
                 env_vars.push(format!("ANTHROPIC_MODEL={}", model));
             }
         }
@@ -698,7 +698,7 @@ pub async fn create_container(
     labels.insert("triple-c.paths-fingerprint".to_string(), compute_paths_fingerprint(&project.paths));
     labels.insert("triple-c.bedrock-fingerprint".to_string(), compute_bedrock_fingerprint(project));
     labels.insert("triple-c.ollama-fingerprint".to_string(), compute_ollama_fingerprint(project));
-    labels.insert("triple-c.litellm-fingerprint".to_string(), compute_litellm_fingerprint(project));
+    labels.insert("triple-c.openai-compatible-fingerprint".to_string(), compute_openai_compatible_fingerprint(project));
     labels.insert("triple-c.ports-fingerprint".to_string(), compute_ports_fingerprint(&project.port_mappings));
     labels.insert("triple-c.image".to_string(), image_name.to_string());
     labels.insert("triple-c.timezone".to_string(), timezone.unwrap_or("").to_string());
@@ -948,11 +948,11 @@ pub async fn container_needs_recreation(
         return Ok(true);
     }
 
-    // ── LiteLLM config fingerprint ───────────────────────────────────────
-    let expected_litellm_fp = compute_litellm_fingerprint(project);
-    let container_litellm_fp = get_label("triple-c.litellm-fingerprint").unwrap_or_default();
-    if container_litellm_fp != expected_litellm_fp {
-        log::info!("LiteLLM config mismatch");
+    // ── OpenAI Compatible config fingerprint ────────────────────────────
+    let expected_oai_fp = compute_openai_compatible_fingerprint(project);
+    let container_oai_fp = get_label("triple-c.openai-compatible-fingerprint").unwrap_or_default();
+    if container_oai_fp != expected_oai_fp {
+        log::info!("OpenAI Compatible config mismatch");
         return Ok(true);
     }
 

app/src-tauri/src/models/project.rs

@@ -35,7 +35,8 @@ pub struct Project {
     pub backend: Backend,
     pub bedrock_config: Option<BedrockConfig>,
     pub ollama_config: Option<OllamaConfig>,
-    pub litellm_config: Option<LiteLlmConfig>,
+    #[serde(alias = "litellm_config")]
+    pub openai_compatible_config: Option<OpenAiCompatibleConfig>,
     pub allow_docker_access: bool,
     #[serde(default)]
     pub mission_control_enabled: bool,
@@ -70,7 +71,7 @@ pub enum ProjectStatus {
 /// - `Anthropic`: Direct Anthropic API (user runs `claude login` inside the container)
 /// - `Bedrock`: AWS Bedrock with per-project AWS credentials
 /// - `Ollama`: Local or remote Ollama server
-/// - `LiteLlm`: LiteLLM proxy gateway for 100+ model providers
+/// - `OpenAiCompatible`: Any OpenAI API-compatible endpoint (e.g., LiteLLM, vLLM, etc.)
 #[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
 #[serde(rename_all = "snake_case")]
 pub enum Backend {
@@ -79,8 +80,8 @@ pub enum Backend {
     Anthropic,
     Bedrock,
     Ollama,
-    #[serde(alias = "litellm")]
-    LiteLlm,
+    #[serde(alias = "lite_llm", alias = "litellm")]
+    OpenAiCompatible,
 }
 
 impl Default for Backend {
@@ -132,13 +133,14 @@ pub struct OllamaConfig {
     pub model_id: Option<String>,
 }
 
-/// LiteLLM gateway configuration for a project.
-/// LiteLLM translates Anthropic API calls to 100+ model providers.
+/// OpenAI Compatible endpoint configuration for a project.
+/// Routes Anthropic API calls through any OpenAI API-compatible endpoint
+/// (e.g., LiteLLM, vLLM, or other compatible gateways).
 #[derive(Debug, Clone, Serialize, Deserialize)]
-pub struct LiteLlmConfig {
-    /// The base URL of the LiteLLM proxy (e.g., "http://host.docker.internal:4000" or "https://litellm.example.com")
+pub struct OpenAiCompatibleConfig {
+    /// The base URL of the OpenAI-compatible endpoint (e.g., "http://host.docker.internal:4000" or "https://api.example.com")
     pub base_url: String,
-    /// API key for the LiteLLM proxy
+    /// API key for the OpenAI-compatible endpoint
     #[serde(skip_serializing, default)]
     pub api_key: Option<String>,
     /// Optional model override
@@ -157,7 +159,7 @@ impl Project {
             backend: Backend::default(),
             bedrock_config: None,
             ollama_config: None,
-            litellm_config: None,
+            openai_compatible_config: None,
             allow_docker_access: false,
             mission_control_enabled: false,
             ssh_key_path: None,

app/src/components/layout/StatusBar.tsx

@@ -2,8 +2,8 @@ import { useShallow } from "zustand/react/shallow";
 import { useAppState } from "../../store/appState";
 
 export default function StatusBar() {
-  const { projects, sessions } = useAppState(
-    useShallow(s => ({ projects: s.projects, sessions: s.sessions }))
+  const { projects, sessions, terminalHasSelection } = useAppState(
+    useShallow(s => ({ projects: s.projects, sessions: s.sessions, terminalHasSelection: s.terminalHasSelection }))
   );
   const running = projects.filter((p) => p.status === "running").length;
 
@@ -20,6 +20,12 @@ export default function StatusBar() {
       <span>
         {sessions.length} terminal{sessions.length !== 1 ? "s" : ""}
       </span>
+      {terminalHasSelection && (
+        <>
+          <span className="mx-2">|</span>
+          <span className="text-[var(--accent)]">Ctrl+Shift+C to copy</span>
+        </>
+      )}
     </div>
   );
 }

app/src/components/projects/ProjectCard.tsx

@@ -1,7 +1,7 @@
 import { useState, useEffect } from "react";
 import { open } from "@tauri-apps/plugin-dialog";
 import { listen } from "@tauri-apps/api/event";
-import type { Project, ProjectPath, Backend, BedrockConfig, BedrockAuthMethod, OllamaConfig, LiteLlmConfig } from "../../lib/types";
+import type { Project, ProjectPath, Backend, BedrockConfig, BedrockAuthMethod, OllamaConfig, OpenAiCompatibleConfig } from "../../lib/types";
 import { useProjects } from "../../hooks/useProjects";
 import { useMcpServers } from "../../hooks/useMcpServers";
 import { useTerminal } from "../../hooks/useTerminal";
@@ -63,10 +63,10 @@ export default function ProjectCard({ project }: Props) {
   const [ollamaBaseUrl, setOllamaBaseUrl] = useState(project.ollama_config?.base_url ?? "http://host.docker.internal:11434");
   const [ollamaModelId, setOllamaModelId] = useState(project.ollama_config?.model_id ?? "");
 
-  // LiteLLM local state
-  const [litellmBaseUrl, setLitellmBaseUrl] = useState(project.litellm_config?.base_url ?? "http://host.docker.internal:4000");
-  const [litellmApiKey, setLitellmApiKey] = useState(project.litellm_config?.api_key ?? "");
-  const [litellmModelId, setLitellmModelId] = useState(project.litellm_config?.model_id ?? "");
+  // OpenAI Compatible local state
+  const [openaiCompatibleBaseUrl, setOpenaiCompatibleBaseUrl] = useState(project.openai_compatible_config?.base_url ?? "http://host.docker.internal:4000");
+  const [openaiCompatibleApiKey, setOpenaiCompatibleApiKey] = useState(project.openai_compatible_config?.api_key ?? "");
+  const [openaiCompatibleModelId, setOpenaiCompatibleModelId] = useState(project.openai_compatible_config?.model_id ?? "");
 
   // Sync local state when project prop changes (e.g., after save or external update)
   useEffect(() => {
@@ -88,9 +88,9 @@ export default function ProjectCard({ project }: Props) {
     setBedrockModelId(project.bedrock_config?.model_id ?? "");
     setOllamaBaseUrl(project.ollama_config?.base_url ?? "http://host.docker.internal:11434");
     setOllamaModelId(project.ollama_config?.model_id ?? "");
-    setLitellmBaseUrl(project.litellm_config?.base_url ?? "http://host.docker.internal:4000");
-    setLitellmApiKey(project.litellm_config?.api_key ?? "");
-    setLitellmModelId(project.litellm_config?.model_id ?? "");
+    setOpenaiCompatibleBaseUrl(project.openai_compatible_config?.base_url ?? "http://host.docker.internal:4000");
+    setOpenaiCompatibleApiKey(project.openai_compatible_config?.api_key ?? "");
+    setOpenaiCompatibleModelId(project.openai_compatible_config?.model_id ?? "");
   }, [project]);
 
   // Listen for container progress events
@@ -197,7 +197,7 @@ export default function ProjectCard({ project }: Props) {
     model_id: null,
   };
 
-  const defaultLiteLlmConfig: LiteLlmConfig = {
+  const defaultOpenAiCompatibleConfig: OpenAiCompatibleConfig = {
     base_url: "http://host.docker.internal:4000",
     api_key: null,
     model_id: null,
@@ -212,8 +212,8 @@ export default function ProjectCard({ project }: Props) {
       if (mode === "ollama" && !project.ollama_config) {
         updates.ollama_config = defaultOllamaConfig;
       }
-      if (mode === "lite_llm" && !project.litellm_config) {
-        updates.litellm_config = defaultLiteLlmConfig;
+      if (mode === "open_ai_compatible" && !project.openai_compatible_config) {
+        updates.openai_compatible_config = defaultOpenAiCompatibleConfig;
       }
       await update({ ...project, ...updates });
     } catch (e) {
@@ -355,30 +355,30 @@ export default function ProjectCard({ project }: Props) {
     }
   };
 
-  const handleLitellmBaseUrlBlur = async () => {
+  const handleOpenaiCompatibleBaseUrlBlur = async () => {
     try {
-      const current = project.litellm_config ?? defaultLiteLlmConfig;
-      await update({ ...project, litellm_config: { ...current, base_url: litellmBaseUrl } });
+      const current = project.openai_compatible_config ?? defaultOpenAiCompatibleConfig;
+      await update({ ...project, openai_compatible_config: { ...current, base_url: openaiCompatibleBaseUrl } });
     } catch (err) {
-      console.error("Failed to update LiteLLM base URL:", err);
+      console.error("Failed to update OpenAI Compatible base URL:", err);
     }
   };
 
-  const handleLitellmApiKeyBlur = async () => {
+  const handleOpenaiCompatibleApiKeyBlur = async () => {
     try {
-      const current = project.litellm_config ?? defaultLiteLlmConfig;
-      await update({ ...project, litellm_config: { ...current, api_key: litellmApiKey || null } });
+      const current = project.openai_compatible_config ?? defaultOpenAiCompatibleConfig;
+      await update({ ...project, openai_compatible_config: { ...current, api_key: openaiCompatibleApiKey || null } });
     } catch (err) {
-      console.error("Failed to update LiteLLM API key:", err);
+      console.error("Failed to update OpenAI Compatible API key:", err);
     }
   };
 
-  const handleLitellmModelIdBlur = async () => {
+  const handleOpenaiCompatibleModelIdBlur = async () => {
     try {
-      const current = project.litellm_config ?? defaultLiteLlmConfig;
-      await update({ ...project, litellm_config: { ...current, model_id: litellmModelId || null } });
+      const current = project.openai_compatible_config ?? defaultOpenAiCompatibleConfig;
+      await update({ ...project, openai_compatible_config: { ...current, model_id: openaiCompatibleModelId || null } });
     } catch (err) {
-      console.error("Failed to update LiteLLM model ID:", err);
+      console.error("Failed to update OpenAI Compatible model ID:", err);
     }
   };
 
@@ -449,7 +449,7 @@ export default function ProjectCard({ project }: Props) {
         <div className="mt-2 ml-4 space-y-2 min-w-0 overflow-hidden">
           {/* Backend selector */}
           <div className="flex items-center gap-1 text-xs">
-            <span className="text-[var(--text-secondary)] mr-1">Backend:<Tooltip text="Choose the AI model provider for this project. Anthropic: Connect directly to Claude via OAuth login (run 'claude login' in terminal). Bedrock: Route through AWS Bedrock using your AWS credentials. Ollama: Use locally-hosted open-source models (Llama, Mistral, etc.) via an Ollama server. LiteLLM: Connect through a LiteLLM proxy gateway to access 100+ model providers (OpenAI, Azure, Gemini, etc.)." /></span>
+            <span className="text-[var(--text-secondary)] mr-1">Backend:<Tooltip text="Choose the AI model provider for this project. Anthropic: Connect directly to Claude via OAuth login (run 'claude login' in terminal). Bedrock: Route through AWS Bedrock using your AWS credentials. Ollama: Use locally-hosted open-source models (Llama, Mistral, etc.) via an Ollama server. OpenAI Compatible: Connect through any OpenAI API-compatible endpoint (LiteLLM, OpenRouter, vLLM, etc.) to access 100+ model providers." /></span>
             <select
               value={project.backend}
               onChange={(e) => { e.stopPropagation(); handleBackendChange(e.target.value as Backend); }}
@@ -460,7 +460,7 @@ export default function ProjectCard({ project }: Props) {
               <option value="anthropic">Anthropic</option>
               <option value="bedrock">Bedrock</option>
               <option value="ollama">Ollama</option>
-              <option value="lite_llm">LiteLLM</option>
+              <option value="open_ai_compatible">OpenAI Compatible</option>
             </select>
           </div>
 
@@ -942,7 +942,7 @@ export default function ProjectCard({ project }: Props) {
                     </div>
 
                     <div>
-                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Model (optional)<Tooltip text="Ollama model name to use (e.g. qwen3.5:27b). Leave blank for the server default." /></label>
+                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Model (required)<Tooltip text="Ollama model name to use (e.g. qwen3.5:27b). The model must be pulled in Ollama before starting the container." /></label>
                       <input
                         value={ollamaModelId}
                         onChange={(e) => setOllamaModelId(e.target.value)}
@@ -956,38 +956,38 @@ export default function ProjectCard({ project }: Props) {
                 );
               })()}
 
-              {/* LiteLLM config */}
-              {project.backend === "lite_llm" && (() => {
+              {/* OpenAI Compatible config */}
+              {project.backend === "open_ai_compatible" && (() => {
                 const inputCls = "w-full px-2 py-1 bg-[var(--bg-primary)] border border-[var(--border-color)] rounded text-xs text-[var(--text-primary)] focus:outline-none focus:border-[var(--accent)] disabled:opacity-50";
                 return (
                   <div className="space-y-2 pt-1 border-t border-[var(--border-color)]">
-                    <label className="block text-xs font-medium text-[var(--text-primary)]">LiteLLM Gateway</label>
+                    <label className="block text-xs font-medium text-[var(--text-primary)]">OpenAI Compatible Endpoint</label>
                     <p className="text-xs text-[var(--text-secondary)]">
-                      Connect through a LiteLLM proxy to use 100+ model providers.
+                      Connect through any OpenAI API-compatible endpoint (LiteLLM, OpenRouter, vLLM, etc.).
                     </p>
 
                     <div>
-                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Base URL<Tooltip text="URL of your LiteLLM proxy server. Use host.docker.internal for a locally running proxy." /></label>
+                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Base URL<Tooltip text="URL of your OpenAI API-compatible server. Use host.docker.internal for a locally running service." /></label>
                       <input
-                        value={litellmBaseUrl}
-                        onChange={(e) => setLitellmBaseUrl(e.target.value)}
-                        onBlur={handleLitellmBaseUrlBlur}
+                        value={openaiCompatibleBaseUrl}
+                        onChange={(e) => setOpenaiCompatibleBaseUrl(e.target.value)}
+                        onBlur={handleOpenaiCompatibleBaseUrlBlur}
                         placeholder="http://host.docker.internal:4000"
                         disabled={!isStopped}
                         className={inputCls}
                       />
                       <p className="text-xs text-[var(--text-secondary)] mt-0.5 opacity-70">
-                        Use host.docker.internal for local, or a URL for remote/containerized LiteLLM.
+                        Use host.docker.internal for local, or a URL for a remote OpenAI-compatible service.
                       </p>
                     </div>
 
                     <div>
-                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">API Key<Tooltip text="Authentication key for your LiteLLM proxy, if required." /></label>
+                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">API Key<Tooltip text="Authentication key for your OpenAI-compatible endpoint, if required." /></label>
                       <input
                         type="password"
-                        value={litellmApiKey}
-                        onChange={(e) => setLitellmApiKey(e.target.value)}
-                        onBlur={handleLitellmApiKeyBlur}
+                        value={openaiCompatibleApiKey}
+                        onChange={(e) => setOpenaiCompatibleApiKey(e.target.value)}
+                        onBlur={handleOpenaiCompatibleApiKeyBlur}
                         placeholder="sk-..."
                         disabled={!isStopped}
                         className={inputCls}
@@ -995,11 +995,11 @@ export default function ProjectCard({ project }: Props) {
                     </div>
 
                     <div>
-                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Model (optional)<Tooltip text="Model identifier as configured in your LiteLLM proxy (e.g. gpt-4o, gemini-pro)." /></label>
+                      <label className="block text-xs text-[var(--text-secondary)] mb-0.5">Model (optional)<Tooltip text="Model identifier as configured in your provider (e.g. gpt-4o, gemini-pro)." /></label>
                       <input
-                        value={litellmModelId}
-                        onChange={(e) => setLitellmModelId(e.target.value)}
-                        onBlur={handleLitellmModelIdBlur}
+                        value={openaiCompatibleModelId}
+                        onChange={(e) => setOpenaiCompatibleModelId(e.target.value)}
+                        onBlur={handleOpenaiCompatibleModelIdBlur}
                         placeholder="gpt-4o / gemini-pro / etc."
                         disabled={!isStopped}
                         className={inputCls}

app/src/components/terminal/TerminalView.tsx

@@ -24,6 +24,7 @@ export default function TerminalView({ sessionId, active }: Props) {
   const webglRef = useRef<WebglAddon | null>(null);
   const detectorRef = useRef<UrlDetector | null>(null);
   const { sendInput, pasteImage, resize, onOutput, onExit } = useTerminal();
+  const setTerminalHasSelection = useAppState(s => s.setTerminalHasSelection);
 
   const ssoBufferRef = useRef("");
   const ssoTriggeredRef = useRef(false);
@@ -80,6 +81,22 @@ export default function TerminalView({ sessionId, active }: Props) {
 
     term.open(containerRef.current);
 
+    // Ctrl+Shift+C copies selected terminal text to clipboard.
+    // This prevents the keystroke from reaching the container (where
+    // Ctrl+C would send SIGINT and cancel running work).
+    term.attachCustomKeyEventHandler((event) => {
+      if (event.type === "keydown" && event.ctrlKey && event.shiftKey && event.key === "C") {
+        const sel = term.getSelection();
+        if (sel) {
+          navigator.clipboard.writeText(sel).catch((e) =>
+            console.error("Ctrl+Shift+C clipboard write failed:", e),
+          );
+        }
+        return false; // prevent xterm from processing this key
+      }
+      return true;
+    });
+
     // WebGL addon is loaded/disposed dynamically in the active effect
     // to avoid exhausting the browser's limited WebGL context pool.
 
@@ -120,6 +137,11 @@ export default function TerminalView({ sessionId, active }: Props) {
       setIsAtBottom(buf.viewportY >= buf.baseY);
     });
 
+    // Track text selection to show copy hint in status bar
+    const selectionDisposable = term.onSelectionChange(() => {
+      setTerminalHasSelection(term.hasSelection());
+    });
+
     // Handle image paste: intercept paste events with image data,
     // upload to the container, and inject the file path into terminal input.
     const handlePaste = (e: ClipboardEvent) => {
@@ -222,6 +244,8 @@ export default function TerminalView({ sessionId, active }: Props) {
       osc52Disposable.dispose();
       inputDisposable.dispose();
       scrollDisposable.dispose();
+      selectionDisposable.dispose();
+      setTerminalHasSelection(false);
       containerRef.current?.removeEventListener("paste", handlePaste, { capture: true });
       outputPromise.then((fn) => fn?.());
       exitPromise.then((fn) => fn?.());

app/src/lib/types.ts

@@ -23,7 +23,7 @@ export interface Project {
   backend: Backend;
   bedrock_config: BedrockConfig | null;
   ollama_config: OllamaConfig | null;
-  litellm_config: LiteLlmConfig | null;
+  openai_compatible_config: OpenAiCompatibleConfig | null;
   allow_docker_access: boolean;
   mission_control_enabled: boolean;
   ssh_key_path: string | null;
@@ -45,7 +45,7 @@ export type ProjectStatus =
   | "stopping"
   | "error";
 
-export type Backend = "anthropic" | "bedrock" | "ollama" | "lite_llm";
+export type Backend = "anthropic" | "bedrock" | "ollama" | "open_ai_compatible";
 
 export type BedrockAuthMethod = "static_credentials" | "profile" | "bearer_token";
 
@@ -66,7 +66,7 @@ export interface OllamaConfig {
   model_id: string | null;
 }
 
-export interface LiteLlmConfig {
+export interface OpenAiCompatibleConfig {
   base_url: string;
   api_key: string | null;
   model_id: string | null;

app/src/store/appState.ts

@@ -24,6 +24,8 @@ interface AppState {
   removeMcpServerFromList: (id: string) => void;
 
   // UI state
+  terminalHasSelection: boolean;
+  setTerminalHasSelection: (has: boolean) => void;
   sidebarView: "projects" | "mcp" | "settings";
   setSidebarView: (view: "projects" | "mcp" | "settings") => void;
   dockerAvailable: boolean | null;
@@ -100,6 +102,8 @@ export const useAppState = create<AppState>((set) => ({
     })),
 
   // UI state
+  terminalHasSelection: false,
+  setTerminalHasSelection: (has) => set({ terminalHasSelection: has }),
   sidebarView: "projects",
   setSidebarView: (view) => set({ sidebarView: view }),
   dockerAvailable: null,