From openrouter
Scaffolds complete TypeScript TUI for OpenRouter agents with customizable inputs, tool displays, ASCII banners, streaming output, session persistence, and configurable tools. Use for agent projects or coding assistants.
npx claudepluginhub openrouterteam/skills --plugin openrouterThis skill uses the workspace's default tool permissions.
Scaffolds a complete agent TUI in TypeScript targeting OpenRouter. The generated project uses `@openrouter/agent` for the inner loop (model calls, tool execution, stop conditions) and provides the outer shell: a customizable terminal interface, configuration, session management, tool definitions, and an entry point.
README.mdmetadata.jsonreferences/input-styles.mdreferences/loader.mdreferences/modules.mdreferences/server-entry-points.mdreferences/slash-commands.mdreferences/system-prompt.mdreferences/tool-display.mdreferences/tools.mdreferences/tui.mdsample/package-lock.jsonsample/package.jsonsample/screenshots/banner.pngsample/screenshots/input-style-block.pngsample/screenshots/input-style-bordered.pngsample/screenshots/input-style-plain.pngsample/screenshots/loader-gradient.pngsample/screenshots/loader-minimal.pngsample/screenshots/loader-spinner.pngScaffolds headless TypeScript agents using @openrouter/agent and Bun for CLI tools, API servers, queue workers, and pipelines. No terminal UI.
Bootstraps a modular AI agent using OpenRouter SDK with extensible hooks, optional Ink TUI, and Node.js/TypeScript setup for standalone or interfaced use.
Creates Claude Code agents from scratch or by adapting templates. Guides requirements gathering, template selection, and file generation following Anthropic best practices (v2.1.63+).
Share bugs, ideas, or general feedback.
Scaffolds a complete agent TUI in TypeScript targeting OpenRouter. The generated project uses @openrouter/agent for the inner loop (model calls, tool execution, stop conditions) and provides the outer shell: a customizable terminal interface, configuration, session management, tool definitions, and an entry point.
Architecture draws from three production agent systems:
OPENROUTER_API_KEY from openrouter.ai/settings/keysopenrouter-typescript-sdk skill| User wants to... | Action |
|---|---|
| Build a new agent from scratch | Present checklist below → follow Generation Workflow |
| Add tools to an existing harness | Read references/tools.md, present tool checklist only |
| Add a harness module | Read references/modules.md, generate the module |
| Add an API server entry point | Read references/server-entry-points.md |
Present this as a multi-select checklist. Items marked ON are pre-selected defaults.
| Tool | Type string | Default | Config |
|---|---|---|---|
| Web Search | openrouter:web_search | ON | engine, max_results, domain filtering |
| Datetime | openrouter:datetime | ON | timezone |
| Image Generation | openrouter:image_generation | OFF | model, quality, size, format |
Server tools go in the tools array alongside user-defined tools. No client code needed — OpenRouter executes them.
| Tool | Default | Description |
|---|---|---|
| File Read | ON | Read files with offset/limit, detect images |
| File Write | ON | Write/create files, auto-create directories |
| File Edit | ON | Search-and-replace with diff validation |
| Glob/Find | ON | File discovery by glob pattern |
| Grep/Search | ON | Content search by regex |
| Directory List | ON | List directory contents |
| Shell/Bash | ON | Execute commands with timeout and output capture |
| JS REPL | OFF | Persistent Node.js environment |
| Sub-agent Spawn | OFF | Delegate tasks to child agents |
| Plan/Todo | OFF | Track multi-step task progress |
| Request User Input | OFF | Structured multiple-choice questions |
| Web Fetch | OFF | Fetch and extract text from web pages |
| View Image | OFF | Read local images as base64 |
| Custom Tool Template | ON | Empty skeleton for domain-specific tools |
| Module | Default | Description |
|---|---|---|
| Session Persistence | ON | JSONL append-only conversation log |
| ASCII Logo Banner | OFF | Custom ASCII art banner on startup — ask for project name |
| Context Compaction | OFF | Summarize older messages when context is long |
| System Prompt Composition | OFF | Assemble instructions from static + dynamic context |
| Tool Permissions / Approval | OFF | Gate dangerous tools behind user confirmation |
| Structured Event Logging | OFF | Emit events for tool calls, API requests, errors |
@-file References | OFF | @filename to attach file content to next message |
! Shell Shortcut | OFF | !command to run shell and inject output into context |
| Multi-line Input | OFF | Shift+Enter for multi-line (requires raw terminal mode) |
| Command | Default | Description |
|---|---|---|
/model | ON | Switch model via OpenRouter API |
/new | ON | Start a fresh conversation |
/help | ON | List available commands |
/compact | OFF | Manually trigger context compaction |
/session | OFF | Show session metadata and token usage |
/export | OFF | Save conversation as Markdown |
When slash commands are enabled, generate src/commands.ts with a command registry. See references/slash-commands.md for specs.
Input style — how the prompt looks. See references/input-styles.md:
| Style | Default | Description |
|---|---|---|
block | ON | Full-width background box with › prompt, adapts to terminal theme |
bordered | Horizontal ─ lines above and below input | |
plain | Simple > readline prompt, no escape sequences | |
| Other | User describes what they want — implement a custom input style |
Tool display — how tool calls appear during execution. See references/tool-display.md:
| Style | Default | Description |
|---|---|---|
grouped | ON | Bold action labels with tree-branch output |
emoji | Per-call ⚡/✓ markers with args and timing | |
minimal | Aggregated one-liner summaries | |
hidden | No tool output | |
| Other | User describes what they want — implement a custom display |
Loader animation — shown while waiting for model response. See references/loader.md:
| Style | Default | Description |
|---|---|---|
spinner | ON | Braille dot spinner (⠋⠙⠹…) to the left of the text |
gradient | Scrolling color shimmer over the loader text | |
minimal | Trailing dots (Working···) | |
| Other | User describes what they want — implement a custom animation |
Also ask for the loader text (default: "Working").
After getting checklist selections, follow this workflow:
- [ ] Generate package.json with dependencies
- [ ] Generate src/config.ts (add showBanner field if ASCII Logo Banner is ON)
- [ ] Generate src/tools/index.ts wiring selected tools + server tools
- [ ] Generate selected tool files in src/tools/ (see Tool Pattern below, specs in references/tools.md)
- [ ] Generate src/agent.ts (core runner)
- [ ] Generate selected harness modules (specs in references/modules.md)
- [ ] Generate src/terminal-bg.ts (adaptive input background — see references/tui.md)
- [ ] Generate input style functions in src/cli.ts (block/bordered/plain — see references/input-styles.md)
- [ ] Generate src/renderer.ts (tool display — see references/tool-display.md)
- [ ] Generate src/loader.ts (loader animation — see references/loader.md)
- [ ] If slash commands selected: generate src/commands.ts (see references/slash-commands.md)
- [ ] If ASCII Logo Banner is ON: generate src/banner.ts (see ASCII Logo Banner section below)
- [ ] Generate src/cli.ts entry point (or src/server.ts — see references/server-entry-points.md)
- [ ] Generate .env.example with OPENROUTER_API_KEY=
- [ ] Verify: run npx tsc --noEmit to check types
All user-defined tools follow this pattern using @openrouter/agent/tool. Here is one complete example — all other tools in references/tools.md follow the same shape:
import { tool } from '@openrouter/agent/tool';
import { z } from 'zod';
import { readFile, stat } from 'fs/promises';
const DEFAULT_LINE_LIMIT = 2000;
const MAX_LINE_CHARS = 2000;
export const fileReadTool = tool({
name: 'file_read',
description:
'Read the contents of a file. Output is capped at 2000 lines by default (use offset/limit to paginate) and any line longer than 2000 characters is truncated. When the response is truncated, the hint field tells you how to continue.',
inputSchema: z.object({
path: z.string().describe('Absolute path to the file'),
offset: z.number().optional().describe('Start reading from this line (1-indexed)'),
limit: z.number().optional().describe(`Maximum lines to return (default ${DEFAULT_LINE_LIMIT})`),
}),
execute: async ({ path, offset, limit }) => {
try {
const content = await readFile(path, 'utf-8');
const lines = content.split('\n');
const start = offset ? offset - 1 : 0;
const end = Math.min(start + (limit ?? DEFAULT_LINE_LIMIT), lines.length);
let longLines = 0;
const slice = lines.slice(start, end).map((line) => {
if (line.length <= MAX_LINE_CHARS) return line;
longLines++;
return line.slice(0, MAX_LINE_CHARS) + `… [line truncated, ${line.length - MAX_LINE_CHARS} chars dropped]`;
});
const tailTruncated = end < lines.length;
const truncated = tailTruncated || longLines > 0;
const hintParts: string[] = [`Showing lines ${start + 1}-${end} of ${lines.length}.`];
if (tailTruncated) hintParts.push(`Use offset=${end + 1} to continue.`);
if (longLines > 0) hintParts.push(`${longLines} line(s) exceeded ${MAX_LINE_CHARS} chars and were per-line truncated; use grep to fetch content from those lines.`);
return {
content: slice.join('\n'),
totalLines: lines.length,
...(truncated && {
truncated: true,
...(tailTruncated && { nextOffset: end + 1 }),
hint: hintParts.join(' '),
}),
};
} catch (err: any) {
if (err.code === 'ENOENT') return { error: `File not found: ${path}` };
if (err.code === 'EACCES') return { error: `Permission denied: ${path}` };
return { error: err.message };
}
},
});
For specs of all other tools, see references/tools.md.
These files are always generated. The agent adapts them based on checklist selections.
Initialize the project and install dependencies at their latest versions:
npm init -y
npm pkg set type=module
npm pkg set scripts.start="tsx src/cli.ts"
npm pkg set scripts.dev="tsx watch src/cli.ts"
npm install @openrouter/agent glob zod
npm install -D tsx typescript @types/node
{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"outDir": "dist",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true
},
"include": ["src"]
}
import { readFileSync, existsSync } from 'fs';
import { resolve } from 'path';
export interface DisplayConfig {
toolDisplay: 'emoji' | 'grouped' | 'minimal' | 'hidden';
reasoning: boolean;
inputStyle: 'block' | 'bordered' | 'plain';
}
export interface AgentConfig {
apiKey: string;
model: string;
systemPrompt: string;
maxSteps: number;
maxCost: number;
sessionDir: string;
showBanner: boolean;
display: DisplayConfig;
slashCommands: boolean;
}
const DEFAULTS: AgentConfig = {
apiKey: '',
model: 'anthropic/claude-opus-4.7',
systemPrompt: [
'You are a coding assistant with access to tools for reading, writing, editing, and searching files, and running shell commands.',
'',
'Current working directory: {cwd}',
'',
'Guidelines:',
'- Use your tools proactively. Explore the codebase to find answers instead of asking the user.',
'- Keep working until the task is fully resolved before responding.',
'- Do not guess or make up information — use your tools to verify.',
'- Be concise and direct.',
'- Show file paths clearly when working with files.',
'- Prefer grep and glob tools over shell commands for file search.',
'- When editing code, make minimal targeted changes consistent with the existing style.',
].join('\n'),
maxSteps: 20,
maxCost: 1.0,
sessionDir: '.sessions',
showBanner: false,
display: { toolDisplay: 'grouped', reasoning: false, inputStyle: 'block' },
slashCommands: true,
};
export function loadConfig(overrides: Partial<AgentConfig> = {}): AgentConfig {
let config = { ...DEFAULTS };
const configPath = resolve('agent.config.json');
if (existsSync(configPath)) {
const file = JSON.parse(readFileSync(configPath, 'utf-8'));
if (file.display) {
config.display = { ...config.display, ...file.display };
}
config = { ...config, ...file, display: config.display };
}
if (process.env.OPENROUTER_API_KEY) config.apiKey = process.env.OPENROUTER_API_KEY;
if (process.env.AGENT_MODEL) config.model = process.env.AGENT_MODEL;
if (process.env.AGENT_MAX_STEPS) config.maxSteps = Number(process.env.AGENT_MAX_STEPS);
if (process.env.AGENT_MAX_COST) config.maxCost = Number(process.env.AGENT_MAX_COST);
if (overrides.display) {
config.display = { ...config.display, ...overrides.display };
}
config = { ...config, ...overrides, display: config.display };
if (!config.apiKey) throw new Error('OPENROUTER_API_KEY is required.');
return config;
}
Adapt imports based on checklist selections. This example includes all default-ON tools:
import { serverTool } from '@openrouter/agent';
import { fileReadTool } from './file-read.js';
import { fileWriteTool } from './file-write.js';
import { fileEditTool } from './file-edit.js';
import { globTool } from './glob.js';
import { grepTool } from './grep.js';
import { listDirTool } from './list-dir.js';
import { shellTool } from './shell.js';
export const tools = [
// User-defined tools — executed client-side
fileReadTool,
fileWriteTool,
fileEditTool,
globTool,
grepTool,
listDirTool,
shellTool,
// Server tools — executed by OpenRouter, no client implementation needed
serverTool({ type: 'openrouter:web_search' }),
serverTool({ type: 'openrouter:datetime', parameters: { timezone: 'UTC' } }),
];
import { OpenRouter } from '@openrouter/agent';
import type { Item } from '@openrouter/agent';
import { stepCountIs, maxCost } from '@openrouter/agent/stop-conditions';
import type { AgentConfig } from './config.js';
import { tools } from './tools/index.js';
export type ChatMessage = { role: 'user' | 'assistant' | 'system'; content: string };
export type AgentEvent =
| { type: 'text'; delta: string }
| { type: 'tool_call'; name: string; callId: string; args: Record<string, unknown> }
| { type: 'tool_result'; name: string; callId: string; output: string }
| { type: 'reasoning'; delta: string };
export async function runAgent(
config: AgentConfig,
input: string | ChatMessage[],
options?: { onEvent?: (event: AgentEvent) => void; signal?: AbortSignal },
) {
const client = new OpenRouter({ apiKey: config.apiKey });
const result = client.callModel({
model: config.model,
instructions: config.systemPrompt.replace('{cwd}', process.cwd()),
input: input as string | Item[],
tools,
stopWhen: [stepCountIs(config.maxSteps), maxCost(config.maxCost)],
});
if (options?.onEvent) {
// Track text length PER message item by id. A multi-step agent emits
// multiple OutputMessage items over the course of a single run (one per
// assistant turn between tool calls), and each one grows from 0 to its
// final length. A single global cursor breaks on the second message:
// when its length is smaller than the cursor from the first, the slice
// cuts mid-string and drops the start of the new message's text.
const textByItem = new Map<string, number>();
const callNames = new Map<string, string>();
for await (const item of result.getItemsStream()) {
if (options?.signal?.aborted) break;
if (item.type === 'message') {
const text = item.content
?.filter((c): c is { type: 'output_text'; text: string } => 'text' in c)
.map((c) => c.text)
.join('') ?? '';
const prev = textByItem.get(item.id) ?? 0;
if (text.length > prev) {
options.onEvent({ type: 'text', delta: text.slice(prev) });
textByItem.set(item.id, text.length);
}
} else if (item.type === 'function_call') {
callNames.set(item.callId, item.name);
if (item.status === 'completed') {
const args = (() => { try { return item.arguments ? JSON.parse(item.arguments) : {}; } catch { return {}; } })();
options.onEvent({ type: 'tool_call', name: item.name, callId: item.callId, args });
}
} else if (item.type === 'function_call_output') {
const out = typeof item.output === 'string' ? item.output : JSON.stringify(item.output);
options.onEvent({
type: 'tool_result',
name: callNames.get(item.callId) ?? 'unknown',
callId: item.callId,
output: out.length > 200 ? out.slice(0, 200) + '…' : out,
});
} else if (item.type === 'reasoning') {
const text = item.summary?.map((s: { text: string }) => s.text).join('') ?? '';
if (text) options.onEvent({ type: 'reasoning', delta: text });
}
}
}
const response = await result.getResponse();
return { text: response.outputText ?? '', usage: response.usage, output: response.output };
}
export async function runAgentWithRetry(
config: AgentConfig,
input: string | ChatMessage[],
options?: { onEvent?: (event: AgentEvent) => void; signal?: AbortSignal; maxRetries?: number },
) {
for (let attempt = 0, max = options?.maxRetries ?? 3; attempt <= max; attempt++) {
try { return await runAgent(config, input, options); }
catch (err: any) {
const s = err?.status ?? err?.statusCode;
if (!(s === 429 || (s >= 500 && s < 600)) || attempt === max) throw err;
await new Promise((r) => setTimeout(r, Math.min(1000 * 2 ** attempt, 30000)));
}
}
throw new Error('Unreachable');
}
Three input styles are supported: block (background box), bordered (horizontal lines), and plain (simple caret). See references/input-styles.md for full implementations of styledReadLine(), borderedReadLine(), and the getInput() dispatcher.
import { createInterface } from 'readline';
import { loadConfig } from './config.js';
import { runAgentWithRetry, type AgentEvent } from './agent.js';
import { detectBg } from './terminal-bg.js';
// import { styledReadLine, borderedReadLine } from ... — see references/input-styles.md
const DIM = '\x1b[2m';
const RESET = '\x1b[0m';
const BOLD = '\x1b[1m';
const CYAN = '\x1b[36m';
const GREEN = '\x1b[32m';
const YELLOW = '\x1b[33m';
const GRAY = '\x1b[90m';
function formatTokens(n: number): string {
return n >= 1000 ? `${(n / 1000).toFixed(1)}k` : String(n);
}
function summarizeArgs(name: string, args: Record<string, unknown>): string {
const key = { shell: 'command', file_read: 'path', file_write: 'path',
file_edit: 'path', glob: 'pattern', grep: 'pattern', web_search: 'query',
}[name] ?? Object.keys(args)[0];
if (!key || !(key in args)) return '';
const val = String(args[key]);
return `${key}=${val.length > 40 ? val.slice(0, 40) + '…' : val}`;
}
async function main() {
const config = loadConfig();
const BG_INPUT = config.display.inputStyle === 'block' ? await detectBg() : '';
// Banner
const width = Math.min(process.stdout.columns || 60, 60);
const line = GRAY + '─'.repeat(width) + RESET;
console.log(`\n${line}`);
console.log(` ${BOLD}My Agent${RESET} ${DIM}v0.1.0${RESET}`);
console.log(` ${DIM}model${RESET} ${CYAN}${config.model}${RESET}`);
if (config.slashCommands) console.log(` ${DIM}/model to change${RESET}`);
console.log(`${line}\n`);
const rl = createInterface({ input: process.stdin, output: process.stdout, prompt: `${GREEN}>${RESET} ` });
async function getInput(): Promise<string> {
switch (config.display.inputStyle) {
case 'block': return styledReadLine(BG_INPUT);
case 'bordered': return borderedReadLine();
case 'plain':
default:
return new Promise((r) => { rl.prompt(); rl.once('line', r); });
}
}
while (true) {
const input = await getInput();
const trimmed = input.trim();
if (!trimmed) continue;
if (config.display.inputStyle !== 'plain') {
const cwd = process.cwd().replace(process.env.HOME ?? '', '~');
process.stdout.write(`\x1b[K ${DIM}${cwd}${RESET}\n`);
}
if (trimmed.toLowerCase() === 'exit') { process.exit(0); }
console.log();
let streaming = false, started = false;
const toolStart = new Map<string, number>();
const dots = ['·', '··', '···'];
let di = 0;
const spin = setInterval(() => {
if (!started) process.stdout.write(`\r${DIM}${dots[di++ % 3]}${RESET}`);
}, 300);
const handleEvent = (event: AgentEvent) => {
if (!started) { started = true; process.stdout.write('\r\x1b[K'); }
if (event.type === 'text') { streaming = true; process.stdout.write(event.delta); }
else if (event.type === 'tool_call') {
if (streaming) { process.stdout.write('\n'); streaming = false; }
toolStart.set(event.callId, Date.now());
const args = summarizeArgs(event.name, event.args);
console.log(` ${YELLOW}⚡${RESET} ${DIM}${event.name}${args ? ' ' + args : ''}${RESET}`);
} else if (event.type === 'tool_result') {
const ms = Date.now() - (toolStart.get(event.callId) ?? Date.now());
console.log(` ${GREEN}✓${RESET} ${DIM}${event.name} (${(ms / 1000).toFixed(1)}s)${RESET}`);
started = false;
}
};
try {
const result = await runAgentWithRetry(config, trimmed, { onEvent: handleEvent });
clearInterval(spin);
if (streaming) process.stdout.write(RESET);
const inT = result.usage?.inputTokens ?? 0;
const outT = result.usage?.outputTokens ?? 0;
console.log(`\n${GRAY} ${formatTokens(inT)} in · ${formatTokens(outT)} out${RESET}\n`);
} catch (err: any) {
clearInterval(spin);
if (streaming) process.stdout.write(RESET);
console.log(`\n${YELLOW} Error: ${err.message}${RESET}\n`);
}
}
}
main();
When ASCII Logo Banner is selected, ask the user for their project name, then generate src/banner.ts with ASCII art of that name. Use a block-letter style with the █ character for the art. The banner should fit in a 60-column terminal.
Generate ASCII art for the user's project name. Example for a project called "ACME":
const RESET = '\x1b[0m';
const BOLD = '\x1b[1m';
const DIM = '\x1b[2m';
const CYAN = '\x1b[36m';
const LOGO = `
█████╗ ██████╗███╗ ███╗███████╗
██╔══██╗██╔════╝████╗ ████║██╔════╝
███████║██║ ██╔████╔██║█████╗
██╔══██║██║ ██║╚██╔╝██║██╔══╝
██║ ██║╚██████╗██║ ╚═╝ ██║███████╗
╚═╝ ╚═╝ ╚═════╝╚═╝ ╚═╝╚══════╝`;
export function printBanner(model: string): void {
console.log(CYAN + BOLD + LOGO + RESET);
console.log(` ${DIM}model ${RESET}${model}\n`);
}
Adapt the ASCII art to the user's actual project name. Keep it to one or two short words that fit in 60 columns.
Add at the top of main(), before the text banner, when showBanner is selected:
import { printBanner } from './banner.js';
// In main(), replace the text banner with:
if (config.showBanner) {
printBanner(config.model);
} else {
// fall back to the text banner from the cli.ts template above
}
Add showBanner: boolean to AgentConfig (default false). Enable via agent.config.json or loadConfig({ showBanner: true }).
For content beyond the core files: