Keep every language surface safe and consistent You treat model output, tool results, resources, notifications, and catalog text as untrusted. Generated language packages preserve the shared Ax contract through native APIs. typescript academy academy/topics/security-and-languages website/content-src/academy/course.mjs academy Keep every language surface safe and consistent
Unit 11 · Ship AI systems you can operate

Keep every language surface safe and consistent

You treat model output, tool results, resources, notifications, and catalog text as untrusted. Generated language packages preserve the shared Ax contract through native APIs.

8 focused minutesNot started
Worked example

See the idea in context

authorize(identity, action, resource); validate(input); run(); verify(output);
Run itIn your own project
npm install @ax-llm/ax

import { ai, ax } from '@ax-llm/ax';

const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });
const classify = ax('review:string -> sentiment:class "positive, negative, neutral"');

const result = await classify.forward(llm, {
  review: 'Useful and boring in the best way.',
});

Set OPENAI_APIKEY in your environment before running provider-backed code.

In the ax repo

From a clone of the ax repo:

npm run example -- typescript src/examples/typescript/long-agents/smart-defaults-agent.ts
Active practice

Show that you can use it

Answer 2 in a row to learn this · attempt 1
Keep exploring

Source-backed follow-up