Unit 8 · Measure and improve AI quality

Improve how an agent chooses and acts

You evaluate the whole agent pipeline and tune its actor or responder. Good task records exercise tool choice, clarification, delegation, and final quality.

optimize()11 focused minutesNot started

Unit example (nearest native match)

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from axllm import AxGEPA

engine = AxGEPA(reflection_client)
result = engine.optimize(request, evaluator)

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/optimization/axgen-optimization.py

Active practice

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Answer 2 in a row to learn this · attempt 1

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Source-backed follow-up