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. python academy academy/topics/security-and-languages website/content-src/academy/course.mjs academy Keep every language surface safe and consistent
ax
Python axllm
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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.

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Unit example (nearest native match)

See the idea in context

from axllm import ax

program = ax('text:string -> label:string')
usage = program.get_usage()
Run itIn your own project
pip install axllm

from axllm import ai, ax

llm = ai('openai', api_key=os.environ['OPENAI_API_KEY'])
classify = ax('review:string -> sentiment:class "positive, negative, neutral"')

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 -- python src/examples/python/long-agents/smart-defaults-agent.py
Active practice

Show that you can use it

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

Source-backed follow-up