Branch, loop, and run work in parallel You keep important branches, loops, and parallel work under application control. The model handles typed steps instead of improvising the orchestration plan. python academy academy/topics/flow-control website/content-src/academy/course.mjs academy Branch, loop, and run work in parallel
Unit 4 · Connect AI steps into a workflow

Branch, loop, and run work in parallel

You keep important branches, loops, and parallel work under application control. The model handles typed steps instead of improvising the orchestration plan.

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Unit example (nearest native match)

See the idea in context

step = ax('request:string -> route:class "support, sales, engineering"')
program = (
    flow({"id": "supportRouter"})
    .execute("classify", step)
    .returns({"route": "classify"})
)
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/flows/branch-flow.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