10-code-execution.ts

/**
 * 10 - Code Execution
 *
 * Demonstrates LocalCodeExecutor.asTool() attached to an agent.
 * The agent can execute code to answer questions.
 */

import {
  Agent,
  AgentRuntime,
  LocalCodeExecutor,
} from '@io-orkes/conductor-javascript/agents';

const MODEL = process.env.CONDUCTOR_AGENT_LLM_MODEL ?? 'openai/gpt-4o';

// -- Create a local code executor --
const executor = new LocalCodeExecutor({ timeout: 10 });

// -- Wrap as a tool --
const codeTool = executor.asTool('run_code');

// -- Agent with code execution --
export const codeAgent = new Agent({
  name: 'code_agent',
  model: MODEL,
  instructions:
    'You can execute code to solve problems. ' +
    'Use the run_code tool to execute JavaScript code.',
  tools: [codeTool],
  codeExecutionConfig: {
    enabled: true,
    allowedLanguages: ['javascript', 'python'],
    timeout: 10,
  },
});

async function main() {
  const runtime = new AgentRuntime();
  try {
    const result = await runtime.run(
    codeAgent,
    'Calculate the first 10 Fibonacci numbers using code.',
    );
    result.printResult();

    // Production pattern:
    // 1. Deploy once during CI/CD (optional -- serve() below also deploys):
    // await runtime.deploy(codeAgent);
    // CLI alternative:
    // agentspan deploy --package sdk/typescript/examples --agents code_agent
    //
    // 2. In a separate long-lived worker process (deploys + registers workers + starts polling):
    // await runtime.serve(codeAgent);
  } finally {
    await runtime.shutdown();
  }
}

// Test executor directly
const directResult = executor.execute('console.log("Hello from code executor!")', 'javascript');
console.log('Direct execution:', directResult.output);
console.log('Success:', directResult.success);

main().catch(console.error);