Unit 5 · Build an agent that can use tools

Pause and ask instead of guessing

You make the agent ask when a missing fact would change an action or result. Your host persists that pause, resumes safely, and keeps failures distinct from final output.

8 focused minutesNot started

Unit example (nearest native match)

See the idea in context

from axllm import agent

helper = agent('question:string -> answer:string')

Run itIn your own project

pip install axllm

import os
from axllm import ai, ax

llm = ai('openai', api_key=os.environ['OPENAI_API_KEY'])
classify = ax('review:string -> sentiment:class "positive, negative, neutral"')
result = classify.forward(llm, {
    'review': 'Useful and boring in the best way.',
})

print('sentiment:', result['sentiment'])

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/short-agents/tools-agent.py

Active practice

Show that you can use it

Answer 2 in a row to learn this · attempt 1

Keep exploring

See the idea in context

Show that you can use it

Source-backed follow-up