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. python academy academy/topics/agent-optimize website/content-src/academy/course.mjs academy Improve how an agent chooses and acts
ax
Python axllm
TypeScript Python Java C++ Go Rust
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)

See the idea in context

from axllm import AxGEPA

engine = AxGEPA(reflection_client)
result = engine.optimize(request, evaluator)
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/optimization/axgen-optimization.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