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🤖 Code-Mode Library: First library for tool calls via code execution

[](https://www.npmjs.com/package/@utcp/code-mode)

Transform your AI agents from clunky tool callers into efficient code executors — in just 3 lines.

Why This Changes Everything

LLMs excel at writing code but struggle with tool calls. Instead of exposing hundreds of tools directly, give them ONE tool that executes TypeScript code with access to your entire toolkit.

Apple, Cloudflare, and Anthropic say that Code-Mode is a more efficient way to approach tool calling compared to the traditional dump function information and then extract a JSON for function calling.

Benchmarks

Independent Python benchmark study validates the performance claims with $9,536/year cost savings at 1,000 scenarios/day:

Why Code Mode Dominates:

Batching Advantage - Single code block replaces multiple API calls Cognitive Efficiency - LLMs excel at code generation vs. tool orchestration Computational Efficiency - No context re-processing between operations

Getting Started

Get Started in 3 Lines

import { CodeModeUtcpClient } from '@utcp/code-mode';

const client = await CodeModeUtcpClient.create();                    // 1. Initialize
await client.registerManual({ name: 'github', /* MCP config */ });  // 2. Add tools  
const { result } = await client.callToolChain(`/* TypeScript */`);   // 3. Execute code

That's it. Your AI agent can now execute complex workflows in a single request instead of dozens.

What You Get

Progressive Tool Discovery

// Agent discovers tools dynamically, loads only what it needs
const tools = await client.searchTools('github pull request');
// Instead of 500 tool definitions → 3 relevant tools