Unit 6 · Solve long and complex tasks

Keep bulky evidence out of the prompt

You place large inputs in the runtime and expose only a preview and shape to the model. Declared contextFields keep the full value available by reference.

contextFields9 focused minutesNot started

Unit example (nearest native match)

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investigator := axllm.NewAgent(signature, map[string]axllm.Value{
    "contextFields": axllm.Array("logs"),
    "contextPolicy": axllm.Object("preset", "lean", "budget", "balanced"),
    "runtime": axllm.Object("language", "JavaScript"),
})

Run itIn your own project

go get github.com/ax-llm/ax/packages/go

import axllm "github.com/ax-llm/ax/packages/go"

client := axllm.NewAI("openai", map[string]axllm.Value{"apiKey": os.Getenv("OPENAI_API_KEY")})
classify := axllm.NewAx("review:string -> sentiment:class \"positive, negative, neutral\"", nil)

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 -- go src/examples/go/long-agents/incident_log_forensics.go

Active practice

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Answer 2 in a row to learn this · attempt 1

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