Unit 6 · Solve long and complex tasks

Control how much history the model sees

You choose how aggressively earlier actions are summarized without deleting live runtime values. Checkpointed with a balanced budget is the practical starting point.

contextPolicy8 focused minutesNot started

Unit example (nearest native match)

See the idea in context

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

Show that you can use it

Answer 2 in a row to learn this · attempt 1

Keep exploring

See the idea in context

Show that you can use it

Source-backed follow-up