Reuse orientation across many questions You reuse one map across many questions about a repository, document set, or system. The agent still inspects current evidence, but it knows where to begin. python academy academy/topics/repeated-corpus-exploration website/content-src/academy/course.mjs academy Reuse orientation across many questions
Unit 7 · Give agents memory and orientation

Reuse orientation across many questions

You reuse one map across many questions about a repository, document set, or system. The agent still inspects current evidence, but it knows where to begin.

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Unit example (nearest native match)

See the idea in context

analyst = agent(signature, {
    "contextFields": ["codebase"],
    "contextPolicy": {"preset": "adaptive", "budget": "balanced"},
    "contextMap": {"maxChars": 1800, "infiniteEvolve": False, "evolveSteps": 1},
})
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/long-agents/codebase-peek-map.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