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. python academy academy/topics/agent-clarification-resume website/content-src/academy/course.mjs academy Pause and ask instead of guessing
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.

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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

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/short-agents/tools-agent.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