Unit 6 · Solve long and complex tasks

Keep useful values across agent turns

You can reuse successful variables and functions across actor turns. Prompt history may be summarized while live runtime values remain available.

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Unit example (nearest native match)

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investigator = agent(signature, {
    "contextFields": ["logs"],
    "contextPolicy": {"preset": "lean", "budget": "balanced"},
    "runtime": {"language": "JavaScript"},
})

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/long-agents/incident-log-forensics.py

Active practice

Show that you can use it

Answer 2 in a row to learn this · attempt 1

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Source-backed follow-up