1340 lines
46 KiB
TypeScript
Executable File
1340 lines
46 KiB
TypeScript
Executable File
#!/usr/bin/env bun
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import { parseArgs } from "node:util";
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import type { AgentState } from "@letta-ai/letta-client/resources/agents/agents";
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import type { Message } from "@letta-ai/letta-client/resources/agents/messages";
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import { getResumeData, type ResumeData } from "./agent/check-approval";
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import { getClient } from "./agent/client";
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import { initializeLoadedSkillsFlag, setAgentContext } from "./agent/context";
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import type { AgentProvenance } from "./agent/create";
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import { LETTA_CLOUD_API_URL } from "./auth/oauth";
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import type { ApprovalRequest } from "./cli/helpers/stream";
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import { ProfileSelectionInline } from "./cli/profile-selection";
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import { permissionMode } from "./permissions/mode";
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import { settingsManager } from "./settings-manager";
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import { telemetry } from "./telemetry";
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import { loadTools } from "./tools/manager";
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// Stable empty array constants to prevent new references on every render
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// These are used as fallbacks when resumeData is null, avoiding the React
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// anti-pattern of creating new [] on every render which triggers useEffect re-runs
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const EMPTY_APPROVAL_ARRAY: ApprovalRequest[] = [];
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const EMPTY_MESSAGE_ARRAY: Message[] = [];
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function printHelp() {
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// Keep this plaintext (no colors) so output pipes cleanly
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const usage = `
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Letta Code is a general purpose CLI for interacting with Letta agents
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USAGE
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# interactive TUI
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letta Resume from profile or create new agent (shows selector)
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letta --new Create a new agent directly (skip profile selector)
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letta --agent <id> Open a specific agent by ID
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# headless
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letta -p "..." One-off prompt in headless mode (no TTY UI)
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# maintenance
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letta update Manually check for updates and install if available
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OPTIONS
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-h, --help Show this help and exit
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-v, --version Print version and exit
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--info Show current directory, skills, and pinned agents
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--new Create new agent directly (skip profile selection)
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--init-blocks <list> Comma-separated memory blocks to initialize when using --new (e.g., "persona,skills")
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--base-tools <list> Comma-separated base tools to attach when using --new (e.g., "memory,web_search,conversation_search")
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-a, --agent <id> Use a specific agent ID
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-n, --name <name> Resume agent by name (from pinned agents, case-insensitive)
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-m, --model <id> Model ID or handle (e.g., "opus-4.5" or "anthropic/claude-opus-4-5")
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-s, --system <id> System prompt ID or subagent name (applies to new or existing agent)
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--toolset <name> Force toolset: "codex", "default", or "gemini" (overrides model-based auto-selection)
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-p, --prompt Headless prompt mode
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--output-format <fmt> Output format for headless mode (text, json, stream-json)
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Default: text
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--input-format <fmt> Input format for headless mode (stream-json)
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When set, reads JSON messages from stdin for bidirectional communication
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--include-partial-messages
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Emit stream_event wrappers for each chunk (stream-json only)
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--skills <path> Custom path to skills directory (default: .skills in current directory)
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--sleeptime Enable sleeptime memory management (only for new agents)
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--from-af <path> Create agent from an AgentFile (.af) template
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BEHAVIOR
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On startup, Letta Code checks for saved profiles:
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- If profiles exist, you'll be prompted to select one or create a new agent
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- Profiles can be "pinned" to specific projects for quick access
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- Use /profile save <name> to bookmark your current agent
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Profiles are stored in:
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- Global: ~/.config/letta/settings.json (available everywhere)
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- Local: .letta/settings.local.json (pinned to project)
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If no credentials are configured, you'll be prompted to authenticate via
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Letta Cloud OAuth on first run.
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EXAMPLES
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# when installed as an executable
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letta # Show profile selector or create new
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letta --new # Create new agent directly
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letta --agent agent_123 # Open specific agent
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# inside the interactive session
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/profile save MyAgent # Save current agent as profile
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/profiles # Open profile selector
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/pin # Pin current profile to project
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/unpin # Unpin profile from project
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/logout # Clear credentials and exit
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# headless with JSON output (includes stats)
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letta -p "hello" --output-format json
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`.trim();
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console.log(usage);
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}
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/**
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* Print info about current directory, skills, and pinned agents
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*/
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async function printInfo() {
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const { join } = await import("node:path");
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const { getVersion } = await import("./version");
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const { SKILLS_DIR } = await import("./agent/skills");
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const { exists } = await import("./utils/fs");
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const cwd = process.cwd();
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const skillsDir = join(cwd, SKILLS_DIR);
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const skillsExist = exists(skillsDir);
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// Load local project settings first
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await settingsManager.loadLocalProjectSettings(cwd);
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// Get pinned agents
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const localPinned = settingsManager.getLocalPinnedAgents(cwd);
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const globalPinned = settingsManager.getGlobalPinnedAgents();
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const localSettings = settingsManager.getLocalProjectSettings(cwd);
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const lastAgent = localSettings.lastAgent;
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// Try to fetch agent names from API (if authenticated)
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const agentNames: Record<string, string> = {};
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const allAgentIds = [
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...new Set([
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...localPinned,
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...globalPinned,
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...(lastAgent ? [lastAgent] : []),
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]),
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];
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if (allAgentIds.length > 0) {
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try {
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const client = await getClient();
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// Fetch each agent individually to get accurate names
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await Promise.all(
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allAgentIds.map(async (id) => {
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try {
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const agent = await client.agents.retrieve(id);
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agentNames[id] = agent.name;
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} catch {
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// Agent not found or error - leave as not found
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}
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}),
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);
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} catch {
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// Not authenticated or API error - just show IDs
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}
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}
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const formatAgent = (id: string) => {
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const name = agentNames[id];
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return name ? `${id} (${name})` : `${id} (not found)`;
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};
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console.log(`Letta Code ${getVersion()}\n`);
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console.log(`Current directory: ${cwd}`);
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console.log(
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`Skills directory: ${skillsDir}${skillsExist ? "" : " (not found)"}`,
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);
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console.log("");
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// Show which agent will be resumed
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if (lastAgent) {
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console.log(`Will resume: ${formatAgent(lastAgent)}`);
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} else if (localPinned.length > 0 || globalPinned.length > 0) {
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console.log("Will resume: (will show selector)");
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} else {
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console.log("Will resume: (will create new agent)");
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}
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console.log("");
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// Locally pinned agents
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if (localPinned.length > 0) {
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console.log("Locally pinned agents (this project):");
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for (const id of localPinned) {
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const isLast = id === lastAgent;
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const prefix = isLast ? "→ " : " ";
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const suffix = isLast ? " (last used)" : "";
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console.log(` ${prefix}${formatAgent(id)}${suffix}`);
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}
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} else {
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console.log("Locally pinned agents: (none)");
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}
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console.log("");
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// Globally pinned agents
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if (globalPinned.length > 0) {
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console.log("Globally pinned agents:");
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for (const id of globalPinned) {
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const isLocal = localPinned.includes(id);
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console.log(` ${formatAgent(id)}${isLocal ? " (also local)" : ""}`);
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}
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} else {
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console.log("Globally pinned agents: (none)");
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}
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}
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/**
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* Helper to determine which model identifier to pass to loadTools()
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* based on user's model and/or toolset preferences.
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*/
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function getModelForToolLoading(
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specifiedModel?: string,
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specifiedToolset?: "codex" | "default" | "gemini",
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): string | undefined {
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// If toolset is explicitly specified, use a dummy model from that provider
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// to trigger the correct toolset loading logic
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if (specifiedToolset === "codex") {
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return "openai/gpt-4";
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}
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if (specifiedToolset === "gemini") {
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return "google/gemini-3-pro";
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}
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if (specifiedToolset === "default") {
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return "anthropic/claude-sonnet-4";
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}
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// Otherwise, use the specified model (or undefined for auto-detection)
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return specifiedModel;
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}
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/**
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* Resolve an agent ID by name from pinned agents.
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* Case-insensitive exact match. If multiple matches, picks the most recently used.
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*/
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async function resolveAgentByName(
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name: string,
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): Promise<{ id: string; name: string } | null> {
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const client = await getClient();
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// Get all pinned agents (local first, then global, deduplicated)
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const localPinned = settingsManager.getLocalPinnedAgents();
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const globalPinned = settingsManager.getGlobalPinnedAgents();
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const allPinned = [...new Set([...localPinned, ...globalPinned])];
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if (allPinned.length === 0) {
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return null;
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}
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// Fetch names for all pinned agents and find matches
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const matches: { id: string; name: string }[] = [];
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const normalizedSearchName = name.toLowerCase();
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await Promise.all(
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allPinned.map(async (id) => {
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try {
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const agent = await client.agents.retrieve(id);
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if (agent.name?.toLowerCase() === normalizedSearchName) {
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matches.push({ id, name: agent.name });
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}
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} catch {
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// Agent not found or error, skip
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}
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}),
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);
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if (matches.length === 0) return null;
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if (matches.length === 1) return matches[0] ?? null;
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// Multiple matches - pick most recently used
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// Check local LRU first
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const localSettings = settingsManager.getLocalProjectSettings();
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const localMatch = matches.find((m) => m.id === localSettings.lastAgent);
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if (localMatch) return localMatch;
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// Then global LRU
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const settings = settingsManager.getSettings();
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const globalMatch = matches.find((m) => m.id === settings.lastAgent);
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if (globalMatch) return globalMatch;
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// Fallback to first match (preserves local pinned order)
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return matches[0] ?? null;
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}
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/**
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* Get all pinned agent names for error messages
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*/
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async function getPinnedAgentNames(): Promise<{ id: string; name: string }[]> {
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const client = await getClient();
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const localPinned = settingsManager.getLocalPinnedAgents();
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const globalPinned = settingsManager.getGlobalPinnedAgents();
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const allPinned = [...new Set([...localPinned, ...globalPinned])];
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const agents: { id: string; name: string }[] = [];
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await Promise.all(
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allPinned.map(async (id) => {
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try {
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const agent = await client.agents.retrieve(id);
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agents.push({ id, name: agent.name || "(unnamed)" });
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} catch {
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// Agent not found, skip
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}
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}),
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);
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return agents;
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}
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async function main(): Promise<void> {
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// Initialize settings manager (loads settings once into memory)
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await settingsManager.initialize();
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const settings = await settingsManager.getSettingsWithSecureTokens();
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// Initialize LSP infrastructure for type checking
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if (process.env.LETTA_ENABLE_LSP) {
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try {
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const { lspManager } = await import("./lsp/manager.js");
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await lspManager.initialize(process.cwd());
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} catch (error) {
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console.error("[LSP] Failed to initialize:", error);
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}
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}
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// Initialize telemetry (enabled by default, opt-out via LETTA_CODE_TELEM=0)
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telemetry.init();
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// Check for updates on startup (non-blocking)
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const { checkAndAutoUpdate } = await import("./updater/auto-update");
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checkAndAutoUpdate().catch(() => {
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// Silently ignore update failures
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});
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// Parse command-line arguments (Bun-idiomatic approach using parseArgs)
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let values: Record<string, unknown>;
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let positionals: string[];
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try {
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const parsed = parseArgs({
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args: process.argv,
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options: {
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help: { type: "boolean", short: "h" },
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version: { type: "boolean", short: "v" },
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info: { type: "boolean" },
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continue: { type: "boolean", short: "c" },
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new: { type: "boolean" },
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"init-blocks": { type: "string" },
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"base-tools": { type: "string" },
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agent: { type: "string", short: "a" },
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name: { type: "string", short: "n" },
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model: { type: "string", short: "m" },
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system: { type: "string", short: "s" },
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"system-custom": { type: "string" },
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"system-append": { type: "string" },
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"memory-blocks": { type: "string" },
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"block-value": { type: "string", multiple: true },
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toolset: { type: "string" },
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prompt: { type: "boolean", short: "p" },
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run: { type: "boolean" },
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tools: { type: "string" },
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allowedTools: { type: "string" },
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disallowedTools: { type: "string" },
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"permission-mode": { type: "string" },
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yolo: { type: "boolean" },
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"output-format": { type: "string" },
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"input-format": { type: "string" },
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"include-partial-messages": { type: "boolean" },
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skills: { type: "string" },
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sleeptime: { type: "boolean" },
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"from-af": { type: "string" },
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},
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strict: true,
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allowPositionals: true,
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});
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values = parsed.values;
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positionals = parsed.positionals;
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} catch (error) {
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const errorMsg = error instanceof Error ? error.message : String(error);
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// Improve error message for common mistakes
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if (errorMsg.includes("Unknown option")) {
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console.error(`Error: ${errorMsg}`);
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console.error(
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"\nNote: Flags should use double dashes for full names (e.g., --yolo, not -yolo)",
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);
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} else {
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console.error(`Error: ${errorMsg}`);
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}
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console.error("Run 'letta --help' for usage information.");
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process.exit(1);
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}
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// Check for subcommands
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const command = positionals[2]; // First positional after node and script
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// Handle help flag first
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if (values.help) {
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printHelp();
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process.exit(0);
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}
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// Handle version flag
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if (values.version) {
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const { getVersion } = await import("./version");
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console.log(`${getVersion()} (Letta Code)`);
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process.exit(0);
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}
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// Handle info flag
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if (values.info) {
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await printInfo();
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process.exit(0);
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}
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// Handle update command
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if (command === "update") {
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const { manualUpdate } = await import("./updater/auto-update");
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const result = await manualUpdate();
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console.log(result.message);
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process.exit(result.success ? 0 : 1);
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}
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const shouldContinue = (values.continue as boolean | undefined) ?? false;
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const forceNew = (values.new as boolean | undefined) ?? false;
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const initBlocksRaw = values["init-blocks"] as string | undefined;
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const baseToolsRaw = values["base-tools"] as string | undefined;
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let specifiedAgentId = (values.agent as string | undefined) ?? null;
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const specifiedAgentName = (values.name as string | undefined) ?? null;
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const specifiedModel = (values.model as string | undefined) ?? undefined;
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const systemPromptPreset = (values.system as string | undefined) ?? undefined;
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const systemCustom =
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(values["system-custom"] as string | undefined) ?? undefined;
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// Note: systemAppend is also parsed but only used in headless mode (headless.ts handles it)
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const memoryBlocksJson =
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(values["memory-blocks"] as string | undefined) ?? undefined;
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const specifiedToolset = (values.toolset as string | undefined) ?? undefined;
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const skillsDirectory = (values.skills as string | undefined) ?? undefined;
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const sleeptimeFlag = (values.sleeptime as boolean | undefined) ?? undefined;
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const fromAfFile = values["from-af"] as string | undefined;
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const isHeadless = values.prompt || values.run || !process.stdin.isTTY;
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// Fail if an unknown command/argument is passed (and we're not in headless mode where it might be a prompt)
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if (command && !isHeadless) {
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console.error(`Error: Unknown command or argument "${command}"`);
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console.error("Run 'letta --help' for usage information.");
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process.exit(1);
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}
|
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|
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// --init-blocks only makes sense when creating a brand new agent
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if (initBlocksRaw && !forceNew) {
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console.error(
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"Error: --init-blocks can only be used together with --new to control initial memory blocks.",
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);
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process.exit(1);
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}
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|
|
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let initBlocks: string[] | undefined;
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if (initBlocksRaw !== undefined) {
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const trimmed = initBlocksRaw.trim();
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if (!trimmed || trimmed.toLowerCase() === "none") {
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// Explicitly requested zero blocks
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initBlocks = [];
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} else {
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initBlocks = trimmed
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.split(",")
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.map((name) => name.trim())
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.filter((name) => name.length > 0);
|
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}
|
|
}
|
|
|
|
// --base-tools only makes sense when creating a brand new agent
|
|
if (baseToolsRaw && !forceNew) {
|
|
console.error(
|
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"Error: --base-tools can only be used together with --new to control initial base tools.",
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);
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process.exit(1);
|
|
}
|
|
|
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let baseTools: string[] | undefined;
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if (baseToolsRaw !== undefined) {
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const trimmed = baseToolsRaw.trim();
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if (!trimmed || trimmed.toLowerCase() === "none") {
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baseTools = [];
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|
} else {
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baseTools = trimmed
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.split(",")
|
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.map((name) => name.trim())
|
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.filter((name) => name.length > 0);
|
|
}
|
|
}
|
|
|
|
// Validate toolset if provided
|
|
if (
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specifiedToolset &&
|
|
specifiedToolset !== "codex" &&
|
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specifiedToolset !== "default" &&
|
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specifiedToolset !== "gemini"
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) {
|
|
console.error(
|
|
`Error: Invalid toolset "${specifiedToolset}". Must be "codex", "default", or "gemini".`,
|
|
);
|
|
process.exit(1);
|
|
}
|
|
|
|
// Validate system prompt options (--system and --system-custom are mutually exclusive)
|
|
if (systemPromptPreset && systemCustom) {
|
|
console.error(
|
|
"Error: --system and --system-custom are mutually exclusive. Use one or the other.",
|
|
);
|
|
process.exit(1);
|
|
}
|
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|
|
// Validate system prompt preset if provided (can be a system prompt ID or subagent name)
|
|
if (systemPromptPreset) {
|
|
const { SYSTEM_PROMPTS } = await import("./agent/promptAssets");
|
|
const { getAllSubagentConfigs } = await import("./agent/subagents");
|
|
|
|
const validSystemPrompts = SYSTEM_PROMPTS.map((p) => p.id);
|
|
const subagentConfigs = await getAllSubagentConfigs();
|
|
const validSubagentNames = Object.keys(subagentConfigs);
|
|
|
|
const isValidSystemPrompt = validSystemPrompts.includes(systemPromptPreset);
|
|
const isValidSubagent = validSubagentNames.includes(systemPromptPreset);
|
|
|
|
if (!isValidSystemPrompt && !isValidSubagent) {
|
|
const allValid = [...validSystemPrompts, ...validSubagentNames];
|
|
console.error(
|
|
`Error: Invalid system prompt "${systemPromptPreset}". Must be one of: ${allValid.join(", ")}.`,
|
|
);
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Parse memory blocks JSON if provided
|
|
let memoryBlocks:
|
|
| Array<{ label: string; value: string; description?: string }>
|
|
| undefined;
|
|
if (memoryBlocksJson) {
|
|
try {
|
|
memoryBlocks = JSON.parse(memoryBlocksJson);
|
|
if (!Array.isArray(memoryBlocks)) {
|
|
throw new Error("memory-blocks must be a JSON array");
|
|
}
|
|
// Validate each block has required fields
|
|
for (const block of memoryBlocks) {
|
|
if (
|
|
typeof block.label !== "string" ||
|
|
typeof block.value !== "string"
|
|
) {
|
|
throw new Error(
|
|
"Each memory block must have 'label' and 'value' string fields",
|
|
);
|
|
}
|
|
}
|
|
} catch (error) {
|
|
console.error(
|
|
`Error: Invalid --memory-blocks JSON: ${error instanceof Error ? error.message : String(error)}`,
|
|
);
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Validate --from-af flag
|
|
if (fromAfFile) {
|
|
if (specifiedAgentId) {
|
|
console.error("Error: --from-af cannot be used with --agent");
|
|
process.exit(1);
|
|
}
|
|
if (specifiedAgentName) {
|
|
console.error("Error: --from-af cannot be used with --name");
|
|
process.exit(1);
|
|
}
|
|
if (shouldContinue) {
|
|
console.error("Error: --from-af cannot be used with --continue");
|
|
process.exit(1);
|
|
}
|
|
if (forceNew) {
|
|
console.error("Error: --from-af cannot be used with --new");
|
|
process.exit(1);
|
|
}
|
|
// Verify file exists
|
|
const { resolve } = await import("node:path");
|
|
const { existsSync } = await import("node:fs");
|
|
const resolvedPath = resolve(fromAfFile);
|
|
if (!existsSync(resolvedPath)) {
|
|
console.error(`Error: AgentFile not found: ${resolvedPath}`);
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Validate --name flag
|
|
if (specifiedAgentName) {
|
|
if (specifiedAgentId) {
|
|
console.error("Error: --name cannot be used with --agent");
|
|
process.exit(1);
|
|
}
|
|
if (forceNew) {
|
|
console.error("Error: --name cannot be used with --new");
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Check if API key is configured
|
|
const apiKey = process.env.LETTA_API_KEY || settings.env?.LETTA_API_KEY;
|
|
const baseURL =
|
|
process.env.LETTA_BASE_URL ||
|
|
settings.env?.LETTA_BASE_URL ||
|
|
LETTA_CLOUD_API_URL;
|
|
|
|
// Check if refresh token is missing for Letta Cloud (only when not using env var)
|
|
// Skip this check if we already have an API key from env
|
|
if (
|
|
!isHeadless &&
|
|
baseURL === LETTA_CLOUD_API_URL &&
|
|
!settings.refreshToken &&
|
|
!apiKey
|
|
) {
|
|
// For interactive mode, show setup flow
|
|
const { runSetup } = await import("./auth/setup");
|
|
await runSetup();
|
|
// After setup, restart main flow
|
|
return main().catch((err: unknown) => {
|
|
// Handle top-level errors gracefully without raw stack traces
|
|
const message =
|
|
err instanceof Error ? err.message : "An unexpected error occurred";
|
|
console.error(`\nError: ${message}`);
|
|
if (process.env.DEBUG) {
|
|
console.error(err);
|
|
}
|
|
process.exit(1);
|
|
});
|
|
}
|
|
|
|
if (!apiKey && baseURL === LETTA_CLOUD_API_URL) {
|
|
// For headless mode, error out (assume automation context)
|
|
if (isHeadless) {
|
|
console.error("Missing LETTA_API_KEY");
|
|
console.error(
|
|
"Run 'letta' in interactive mode to authenticate or export the missing environment variable",
|
|
);
|
|
process.exit(1);
|
|
}
|
|
|
|
// For interactive mode, show setup flow
|
|
console.log("No credentials found. Let's get you set up!\n");
|
|
const { runSetup } = await import("./auth/setup");
|
|
await runSetup();
|
|
// After setup, restart main flow
|
|
return main();
|
|
}
|
|
|
|
// Validate credentials by checking health endpoint
|
|
const { validateCredentials } = await import("./auth/oauth");
|
|
const isValid = await validateCredentials(baseURL, apiKey ?? "");
|
|
|
|
if (!isValid) {
|
|
// For headless mode, error out with helpful message
|
|
if (isHeadless) {
|
|
console.error("Failed to connect to Letta server");
|
|
console.error(`Base URL: ${baseURL}`);
|
|
console.error(
|
|
"Your credentials may be invalid or the server may be unreachable.",
|
|
);
|
|
console.error(
|
|
"Delete ~/.config/letta/settings.json then run 'letta' to re-authenticate",
|
|
);
|
|
process.exit(1);
|
|
}
|
|
|
|
// For interactive mode, show setup flow
|
|
console.log("Failed to connect to Letta server.");
|
|
console.log(`Base URL: ${baseURL}\n`);
|
|
console.log(
|
|
"Your credentials may be invalid or the server may be unreachable.",
|
|
);
|
|
console.log("Let's reconfigure your setup.\n");
|
|
const { runSetup } = await import("./auth/setup");
|
|
await runSetup();
|
|
// After setup, restart main flow
|
|
return main();
|
|
}
|
|
|
|
// Resolve --name to agent ID if provided
|
|
if (specifiedAgentName) {
|
|
// Load local settings for LRU priority
|
|
await settingsManager.loadLocalProjectSettings();
|
|
|
|
const resolved = await resolveAgentByName(specifiedAgentName);
|
|
if (!resolved) {
|
|
console.error(
|
|
`Error: No pinned agent found with name "${specifiedAgentName}"`,
|
|
);
|
|
console.error("");
|
|
const pinnedAgents = await getPinnedAgentNames();
|
|
if (pinnedAgents.length > 0) {
|
|
console.error("Available pinned agents:");
|
|
for (const agent of pinnedAgents) {
|
|
console.error(` - "${agent.name}" (${agent.id})`);
|
|
}
|
|
} else {
|
|
console.error(
|
|
"No pinned agents available. Use /pin to pin an agent first.",
|
|
);
|
|
}
|
|
process.exit(1);
|
|
}
|
|
specifiedAgentId = resolved.id;
|
|
}
|
|
|
|
// Set tool filter if provided (controls which tools are loaded)
|
|
if (values.tools !== undefined) {
|
|
const { toolFilter } = await import("./tools/filter");
|
|
toolFilter.setEnabledTools(values.tools as string);
|
|
}
|
|
|
|
// Set CLI permission overrides if provided
|
|
if (values.allowedTools || values.disallowedTools) {
|
|
const { cliPermissions } = await import("./permissions/cli");
|
|
if (values.allowedTools) {
|
|
cliPermissions.setAllowedTools(values.allowedTools as string);
|
|
}
|
|
if (values.disallowedTools) {
|
|
cliPermissions.setDisallowedTools(values.disallowedTools as string);
|
|
}
|
|
}
|
|
|
|
// Set permission mode if provided (or via --yolo alias)
|
|
const permissionModeValue = values["permission-mode"] as string | undefined;
|
|
const yoloMode = values.yolo as boolean | undefined;
|
|
|
|
if (yoloMode || permissionModeValue) {
|
|
if (yoloMode) {
|
|
// --yolo is an alias for --permission-mode bypassPermissions
|
|
permissionMode.setMode("bypassPermissions");
|
|
} else if (permissionModeValue) {
|
|
const mode = permissionModeValue;
|
|
const validModes = [
|
|
"default",
|
|
"acceptEdits",
|
|
"plan",
|
|
"bypassPermissions",
|
|
] as const;
|
|
|
|
if (validModes.includes(mode as (typeof validModes)[number])) {
|
|
permissionMode.setMode(mode as (typeof validModes)[number]);
|
|
} else {
|
|
console.error(
|
|
`Invalid permission mode: ${mode}. Valid modes: ${validModes.join(", ")}`,
|
|
);
|
|
process.exit(1);
|
|
}
|
|
}
|
|
}
|
|
|
|
if (isHeadless) {
|
|
// For headless mode, load tools synchronously (respecting model/toolset when provided)
|
|
const modelForTools = getModelForToolLoading(
|
|
specifiedModel,
|
|
specifiedToolset as "codex" | "default" | undefined,
|
|
);
|
|
await loadTools(modelForTools);
|
|
|
|
const { handleHeadlessCommand } = await import("./headless");
|
|
await handleHeadlessCommand(process.argv, specifiedModel, skillsDirectory);
|
|
return;
|
|
}
|
|
|
|
// Enable enhanced key reporting (Shift+Enter, etc.) BEFORE Ink initializes.
|
|
// In VS Code/xterm.js this typically requires a short handshake (query + enable).
|
|
try {
|
|
const { detectAndEnableKittyProtocol } = await import(
|
|
"./cli/utils/kittyProtocolDetector"
|
|
);
|
|
await detectAndEnableKittyProtocol();
|
|
} catch {
|
|
// Best-effort: if this fails, the app still runs (Option+Enter remains supported).
|
|
}
|
|
|
|
// Interactive: lazy-load React/Ink + App
|
|
const React = await import("react");
|
|
const { render } = await import("ink");
|
|
const { useState, useEffect } = React;
|
|
const AppModule = await import("./cli/App");
|
|
const App = AppModule.default;
|
|
|
|
function LoadingApp({
|
|
continueSession,
|
|
forceNew,
|
|
initBlocks,
|
|
baseTools,
|
|
agentIdArg,
|
|
model,
|
|
systemPromptPreset,
|
|
toolset,
|
|
skillsDirectory,
|
|
fromAfFile,
|
|
}: {
|
|
continueSession: boolean;
|
|
forceNew: boolean;
|
|
initBlocks?: string[];
|
|
baseTools?: string[];
|
|
agentIdArg: string | null;
|
|
model?: string;
|
|
systemPromptPreset?: string;
|
|
toolset?: "codex" | "default" | "gemini";
|
|
skillsDirectory?: string;
|
|
fromAfFile?: string;
|
|
}) {
|
|
const [showKeybindingSetup, setShowKeybindingSetup] = useState<
|
|
boolean | null
|
|
>(null);
|
|
const [loadingState, setLoadingState] = useState<
|
|
| "selecting"
|
|
| "selecting_global"
|
|
| "assembling"
|
|
| "importing"
|
|
| "initializing"
|
|
| "checking"
|
|
| "ready"
|
|
>("selecting");
|
|
const [agentId, setAgentId] = useState<string | null>(null);
|
|
const [agentState, setAgentState] = useState<AgentState | null>(null);
|
|
const [resumeData, setResumeData] = useState<ResumeData | null>(null);
|
|
const [isResumingSession, setIsResumingSession] = useState(false);
|
|
const [agentProvenance, setAgentProvenance] =
|
|
useState<AgentProvenance | null>(null);
|
|
const [selectedGlobalAgentId, setSelectedGlobalAgentId] = useState<
|
|
string | null
|
|
>(null);
|
|
// Track when user explicitly requested new agent from selector (not via --new flag)
|
|
const [userRequestedNewAgent, setUserRequestedNewAgent] = useState(false);
|
|
|
|
// Auto-install Shift+Enter keybinding for VS Code/Cursor/Windsurf (silent, no prompt)
|
|
useEffect(() => {
|
|
async function autoInstallKeybinding() {
|
|
const {
|
|
detectTerminalType,
|
|
getKeybindingsPath,
|
|
keybindingExists,
|
|
installKeybinding,
|
|
} = await import("./cli/utils/terminalKeybindingInstaller");
|
|
const { loadSettings, updateSettings } = await import("./settings");
|
|
|
|
const terminal = detectTerminalType();
|
|
if (!terminal) {
|
|
setShowKeybindingSetup(false);
|
|
return;
|
|
}
|
|
|
|
const settings = await loadSettings();
|
|
const keybindingsPath = getKeybindingsPath(terminal);
|
|
|
|
// Skip if already installed or no valid path
|
|
if (!keybindingsPath || settings.shiftEnterKeybindingInstalled) {
|
|
setShowKeybindingSetup(false);
|
|
return;
|
|
}
|
|
|
|
// Check if keybinding already exists (user might have added it manually)
|
|
if (keybindingExists(keybindingsPath)) {
|
|
await updateSettings({ shiftEnterKeybindingInstalled: true });
|
|
setShowKeybindingSetup(false);
|
|
return;
|
|
}
|
|
|
|
// Silently install keybinding (no prompt, just like Claude Code)
|
|
const result = installKeybinding(keybindingsPath);
|
|
if (result.success) {
|
|
await updateSettings({ shiftEnterKeybindingInstalled: true });
|
|
}
|
|
|
|
setShowKeybindingSetup(false);
|
|
}
|
|
|
|
async function autoInstallWezTermFix() {
|
|
const {
|
|
isWezTerm,
|
|
wezTermDeleteFixExists,
|
|
getWezTermConfigPath,
|
|
installWezTermDeleteFix,
|
|
} = await import("./cli/utils/terminalKeybindingInstaller");
|
|
const { loadSettings, updateSettings } = await import("./settings");
|
|
|
|
if (!isWezTerm()) return;
|
|
|
|
const settings = await loadSettings();
|
|
if (settings.wezTermDeleteFixInstalled) return;
|
|
|
|
const configPath = getWezTermConfigPath();
|
|
if (wezTermDeleteFixExists(configPath)) {
|
|
await updateSettings({ wezTermDeleteFixInstalled: true });
|
|
return;
|
|
}
|
|
|
|
// Silently install the fix
|
|
const result = installWezTermDeleteFix();
|
|
if (result.success) {
|
|
await updateSettings({ wezTermDeleteFixInstalled: true });
|
|
}
|
|
}
|
|
|
|
autoInstallKeybinding();
|
|
autoInstallWezTermFix();
|
|
}, []);
|
|
|
|
// Initialize on mount - check if we should show global agent selector
|
|
useEffect(() => {
|
|
async function checkAndStart() {
|
|
// Load settings
|
|
await settingsManager.loadLocalProjectSettings();
|
|
const localSettings = settingsManager.getLocalProjectSettings();
|
|
const globalPinned = settingsManager.getGlobalPinnedAgents();
|
|
|
|
// Show selector if:
|
|
// 1. No lastAgent in this project (fresh directory)
|
|
// 2. No explicit flags that bypass selection (--new, --agent, --from-af, --continue)
|
|
// 3. Has global pinned agents available
|
|
const shouldShowSelector =
|
|
!localSettings.lastAgent &&
|
|
!forceNew &&
|
|
!agentIdArg &&
|
|
!fromAfFile &&
|
|
!continueSession &&
|
|
globalPinned.length > 0;
|
|
|
|
if (shouldShowSelector) {
|
|
setLoadingState("selecting_global");
|
|
return;
|
|
}
|
|
|
|
setLoadingState("assembling");
|
|
}
|
|
checkAndStart();
|
|
}, [forceNew, agentIdArg, fromAfFile, continueSession]);
|
|
|
|
// Main initialization effect - runs after profile selection
|
|
useEffect(() => {
|
|
if (loadingState !== "assembling") return;
|
|
|
|
async function init() {
|
|
const client = await getClient();
|
|
|
|
// Determine which agent we'll be using (before loading tools)
|
|
let resumingAgentId: string | null = null;
|
|
|
|
// Priority 1: --agent flag
|
|
if (agentIdArg) {
|
|
try {
|
|
await client.agents.retrieve(agentIdArg);
|
|
resumingAgentId = agentIdArg;
|
|
} catch {
|
|
// Agent doesn't exist, will create new later
|
|
}
|
|
}
|
|
|
|
// Priority 2: LRU from local settings (if not --new or user explicitly requested new from selector)
|
|
const shouldCreateNew = forceNew || userRequestedNewAgent;
|
|
if (!resumingAgentId && !shouldCreateNew) {
|
|
const localProjectSettings =
|
|
settingsManager.getLocalProjectSettings();
|
|
if (localProjectSettings?.lastAgent) {
|
|
try {
|
|
await client.agents.retrieve(localProjectSettings.lastAgent);
|
|
resumingAgentId = localProjectSettings.lastAgent;
|
|
} catch {
|
|
// LRU agent doesn't exist (wrong org, deleted, etc.)
|
|
// Show selector instead of silently creating a new agent
|
|
setLoadingState("selecting_global");
|
|
return;
|
|
}
|
|
}
|
|
|
|
// Priority 3: Try global settings if --continue flag
|
|
if (!resumingAgentId && continueSession && settings.lastAgent) {
|
|
try {
|
|
await client.agents.retrieve(settings.lastAgent);
|
|
resumingAgentId = settings.lastAgent;
|
|
} catch {
|
|
// Global agent doesn't exist - show selector
|
|
setLoadingState("selecting_global");
|
|
return;
|
|
}
|
|
}
|
|
|
|
// Priority 4: Use agent selected from global selector
|
|
if (!resumingAgentId && selectedGlobalAgentId) {
|
|
try {
|
|
await client.agents.retrieve(selectedGlobalAgentId);
|
|
resumingAgentId = selectedGlobalAgentId;
|
|
} catch {
|
|
// Agent doesn't exist, will create new
|
|
}
|
|
}
|
|
}
|
|
|
|
// Set resuming state early so loading messages are accurate
|
|
setIsResumingSession(!!resumingAgentId);
|
|
|
|
// Load toolset: use explicit --toolset flag if provided, otherwise derive from model
|
|
// NOTE: We don't persist toolset per-agent. On resume, toolset is re-derived from model.
|
|
// If explicit toolset overrides need to persist, see comment in tools/toolset.ts
|
|
const modelForTools = getModelForToolLoading(
|
|
model,
|
|
toolset as "codex" | "default" | undefined,
|
|
);
|
|
await loadTools(modelForTools);
|
|
|
|
setLoadingState("initializing");
|
|
const { createAgent } = await import("./agent/create");
|
|
const { getModelUpdateArgs } = await import("./agent/model");
|
|
|
|
let agent: AgentState | null = null;
|
|
|
|
// Priority 1: Import from AgentFile template
|
|
if (fromAfFile) {
|
|
setLoadingState("importing");
|
|
const { importAgentFromFile } = await import("./agent/import");
|
|
const result = await importAgentFromFile({
|
|
filePath: fromAfFile,
|
|
modelOverride: model,
|
|
stripMessages: true,
|
|
});
|
|
agent = result.agent;
|
|
setAgentProvenance({
|
|
isNew: true,
|
|
blocks: [],
|
|
});
|
|
}
|
|
|
|
// Priority 2: Try to use --agent specified ID
|
|
if (!agent && agentIdArg) {
|
|
try {
|
|
agent = await client.agents.retrieve(agentIdArg);
|
|
|
|
// Apply --system flag to existing agent if provided
|
|
if (systemPromptPreset) {
|
|
const { updateAgentSystemPrompt } = await import(
|
|
"./agent/modify"
|
|
);
|
|
const result = await updateAgentSystemPrompt(
|
|
agent.id,
|
|
systemPromptPreset,
|
|
);
|
|
if (!result.success || !result.agent) {
|
|
console.error(
|
|
`Failed to update system prompt: ${result.message}`,
|
|
);
|
|
process.exit(1);
|
|
}
|
|
agent = result.agent;
|
|
}
|
|
} catch (error) {
|
|
console.error(
|
|
`Agent ${agentIdArg} not found (error: ${JSON.stringify(error)})`,
|
|
);
|
|
console.error(
|
|
"When using --agent, the specified agent ID must exist.",
|
|
);
|
|
console.error("Run 'letta' without --agent to create a new agent.");
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Priority 3: Check if --new flag was passed or user requested new from selector
|
|
if (!agent && shouldCreateNew) {
|
|
const updateArgs = getModelUpdateArgs(model);
|
|
const result = await createAgent(
|
|
undefined,
|
|
model,
|
|
undefined,
|
|
updateArgs,
|
|
skillsDirectory,
|
|
true, // parallelToolCalls always enabled
|
|
sleeptimeFlag ?? settings.enableSleeptime,
|
|
systemPromptPreset,
|
|
initBlocks,
|
|
baseTools,
|
|
);
|
|
agent = result.agent;
|
|
setAgentProvenance(result.provenance);
|
|
}
|
|
|
|
// Priority 4: Try to resume from project settings LRU (.letta/settings.local.json)
|
|
// Note: If LRU retrieval failed in early validation, we already showed selector and returned
|
|
// This block handles the case where we have a valid resumingAgentId from early validation
|
|
if (!agent && resumingAgentId) {
|
|
try {
|
|
agent = await client.agents.retrieve(resumingAgentId);
|
|
} catch (error) {
|
|
// Agent disappeared between validation and now - show selector
|
|
console.error(
|
|
`Agent ${resumingAgentId} not found (error: ${JSON.stringify(error)})`,
|
|
);
|
|
setLoadingState("selecting_global");
|
|
return;
|
|
}
|
|
}
|
|
|
|
// Priority 6: Try to reuse global lastAgent if --continue flag is passed
|
|
// Note: If global lastAgent retrieval failed in early validation (with --continue),
|
|
// we already showed selector and returned. This is a safety fallback.
|
|
if (!agent && continueSession && settings.lastAgent) {
|
|
try {
|
|
agent = await client.agents.retrieve(settings.lastAgent);
|
|
} catch (error) {
|
|
// Agent disappeared - show selector instead of silently creating
|
|
console.error(
|
|
`Previous agent ${settings.lastAgent} not found (error: ${JSON.stringify(error)})`,
|
|
);
|
|
setLoadingState("selecting_global");
|
|
return;
|
|
}
|
|
}
|
|
|
|
// Priority 7: Create a new agent
|
|
if (!agent) {
|
|
const updateArgs = getModelUpdateArgs(model);
|
|
const result = await createAgent(
|
|
undefined,
|
|
model,
|
|
undefined,
|
|
updateArgs,
|
|
skillsDirectory,
|
|
true, // parallelToolCalls always enabled
|
|
sleeptimeFlag ?? settings.enableSleeptime,
|
|
systemPromptPreset,
|
|
undefined,
|
|
undefined,
|
|
);
|
|
agent = result.agent;
|
|
setAgentProvenance(result.provenance);
|
|
}
|
|
|
|
// Ensure local project settings are loaded before updating
|
|
// (they may not have been loaded if we didn't try to resume from project settings)
|
|
try {
|
|
settingsManager.getLocalProjectSettings();
|
|
} catch {
|
|
await settingsManager.loadLocalProjectSettings();
|
|
}
|
|
|
|
// Save agent ID to both project and global settings
|
|
settingsManager.updateLocalProjectSettings({ lastAgent: agent.id });
|
|
settingsManager.updateSettings({ lastAgent: agent.id });
|
|
|
|
// Set agent context for tools that need it (e.g., Skill tool)
|
|
setAgentContext(agent.id, skillsDirectory);
|
|
await initializeLoadedSkillsFlag();
|
|
|
|
// Re-discover skills and update the skills memory block
|
|
// This ensures new skills added after agent creation are available
|
|
try {
|
|
const { discoverSkills, formatSkillsForMemory, SKILLS_DIR } =
|
|
await import("./agent/skills");
|
|
const { join } = await import("node:path");
|
|
|
|
const resolvedSkillsDirectory =
|
|
skillsDirectory || join(process.cwd(), SKILLS_DIR);
|
|
const { skills, errors } = await discoverSkills(
|
|
resolvedSkillsDirectory,
|
|
);
|
|
|
|
if (errors.length > 0) {
|
|
console.warn("Errors encountered during skill discovery:");
|
|
for (const error of errors) {
|
|
console.warn(` ${error.path}: ${error.message}`);
|
|
}
|
|
}
|
|
|
|
// Update the skills memory block with freshly discovered skills
|
|
const formattedSkills = formatSkillsForMemory(
|
|
skills,
|
|
resolvedSkillsDirectory,
|
|
);
|
|
await client.agents.blocks.update("skills", {
|
|
agent_id: agent.id,
|
|
value: formattedSkills,
|
|
});
|
|
} catch (error) {
|
|
console.warn(
|
|
`Failed to update skills: ${error instanceof Error ? error.message : String(error)}`,
|
|
);
|
|
}
|
|
|
|
// Check if we're resuming an existing agent
|
|
// We're resuming if:
|
|
// 1. We specified an agent ID via --agent flag (agentIdArg)
|
|
// 2. We used --continue flag (continueSession)
|
|
// 3. We're reusing a project agent (detected early as resumingAgentId)
|
|
// 4. We retrieved an agent from LRU (detected by checking if agent already existed)
|
|
const isResumingProject = !shouldCreateNew && !!resumingAgentId;
|
|
const isReusingExistingAgent =
|
|
!shouldCreateNew && !fromAfFile && agent && agent.id;
|
|
const resuming = !!(
|
|
continueSession ||
|
|
agentIdArg ||
|
|
isResumingProject ||
|
|
isReusingExistingAgent
|
|
);
|
|
setIsResumingSession(resuming);
|
|
|
|
// If resuming and a model or system prompt was specified, apply those changes
|
|
if (resuming && (model || systemPromptPreset)) {
|
|
if (model) {
|
|
const { resolveModel } = await import("./agent/model");
|
|
const modelHandle = resolveModel(model);
|
|
if (!modelHandle) {
|
|
console.error(`Error: Invalid model "${model}"`);
|
|
process.exit(1);
|
|
}
|
|
|
|
// Optimization: Skip update if agent is already using the specified model
|
|
const currentModel = agent.llm_config?.model;
|
|
const currentEndpointType = agent.llm_config?.model_endpoint_type;
|
|
const currentHandle = `${currentEndpointType}/${currentModel}`;
|
|
|
|
if (currentHandle !== modelHandle) {
|
|
const { updateAgentLLMConfig } = await import("./agent/modify");
|
|
const { getModelUpdateArgs } = await import("./agent/model");
|
|
const updateArgs = getModelUpdateArgs(model);
|
|
await updateAgentLLMConfig(agent.id, modelHandle, updateArgs);
|
|
// Refresh agent state after model update
|
|
agent = await client.agents.retrieve(agent.id);
|
|
}
|
|
}
|
|
|
|
if (systemPromptPreset) {
|
|
const { updateAgentSystemPrompt } = await import("./agent/modify");
|
|
const result = await updateAgentSystemPrompt(
|
|
agent.id,
|
|
systemPromptPreset,
|
|
);
|
|
if (!result.success || !result.agent) {
|
|
console.error(`Error: ${result.message}`);
|
|
process.exit(1);
|
|
}
|
|
agent = result.agent;
|
|
}
|
|
}
|
|
|
|
// Get resume data (pending approval + message history) if resuming
|
|
if (resuming) {
|
|
setLoadingState("checking");
|
|
const data = await getResumeData(client, agent);
|
|
setResumeData(data);
|
|
}
|
|
|
|
setAgentId(agent.id);
|
|
setAgentState(agent);
|
|
setLoadingState("ready");
|
|
}
|
|
|
|
init().catch((err) => {
|
|
// Handle errors gracefully without showing raw stack traces
|
|
const message =
|
|
err instanceof Error ? err.message : "An unexpected error occurred";
|
|
console.error(`\nError during initialization: ${message}`);
|
|
if (process.env.DEBUG) {
|
|
console.error(err);
|
|
}
|
|
process.exit(1);
|
|
});
|
|
}, [
|
|
continueSession,
|
|
forceNew,
|
|
userRequestedNewAgent,
|
|
agentIdArg,
|
|
model,
|
|
systemPromptPreset,
|
|
fromAfFile,
|
|
loadingState,
|
|
selectedGlobalAgentId,
|
|
]);
|
|
|
|
// Wait for keybinding auto-install to complete before showing UI
|
|
if (showKeybindingSetup === null) {
|
|
return null;
|
|
}
|
|
|
|
// Don't render anything during initial "selecting" phase - wait for checkAndStart
|
|
if (loadingState === "selecting") {
|
|
return null;
|
|
}
|
|
|
|
// Show global agent selector in fresh repos with global pinned agents
|
|
if (loadingState === "selecting_global") {
|
|
return React.createElement(ProfileSelectionInline, {
|
|
lruAgentId: null, // No LRU in fresh repo
|
|
loading: false,
|
|
freshRepoMode: true, // Hides "(global)" labels and simplifies context message
|
|
onSelect: (agentId: string) => {
|
|
// Auto-pin the selected global agent to this project
|
|
settingsManager.pinLocal(agentId);
|
|
|
|
setSelectedGlobalAgentId(agentId);
|
|
setLoadingState("assembling");
|
|
},
|
|
onCreateNew: () => {
|
|
setUserRequestedNewAgent(true);
|
|
setLoadingState("assembling");
|
|
},
|
|
onExit: () => {
|
|
process.exit(0);
|
|
},
|
|
});
|
|
}
|
|
|
|
if (!agentId) {
|
|
return React.createElement(App, {
|
|
agentId: "loading",
|
|
loadingState,
|
|
continueSession: isResumingSession,
|
|
startupApproval: resumeData?.pendingApproval ?? null,
|
|
startupApprovals: resumeData?.pendingApprovals ?? EMPTY_APPROVAL_ARRAY,
|
|
messageHistory: resumeData?.messageHistory ?? EMPTY_MESSAGE_ARRAY,
|
|
tokenStreaming: settings.tokenStreaming,
|
|
agentProvenance,
|
|
});
|
|
}
|
|
|
|
return React.createElement(App, {
|
|
agentId,
|
|
agentState,
|
|
loadingState,
|
|
continueSession: isResumingSession,
|
|
startupApproval: resumeData?.pendingApproval ?? null,
|
|
startupApprovals: resumeData?.pendingApprovals ?? EMPTY_APPROVAL_ARRAY,
|
|
messageHistory: resumeData?.messageHistory ?? EMPTY_MESSAGE_ARRAY,
|
|
tokenStreaming: settings.tokenStreaming,
|
|
agentProvenance,
|
|
});
|
|
}
|
|
|
|
render(
|
|
React.createElement(LoadingApp, {
|
|
continueSession: shouldContinue,
|
|
forceNew: forceNew,
|
|
initBlocks: initBlocks,
|
|
baseTools: baseTools,
|
|
agentIdArg: specifiedAgentId,
|
|
model: specifiedModel,
|
|
systemPromptPreset: systemPromptPreset,
|
|
toolset: specifiedToolset as "codex" | "default" | "gemini" | undefined,
|
|
skillsDirectory: skillsDirectory,
|
|
fromAfFile: fromAfFile,
|
|
}),
|
|
{
|
|
exitOnCtrlC: false, // We handle CTRL-C manually with double-press guard
|
|
},
|
|
);
|
|
}
|
|
|
|
main();
|