Unit 5 · Build an agent that can use tools

Give an agent many tools without overload

You group large tool catalogs and load their details only when relevant. The agent begins with a compact index instead of carrying every tool description.

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Worked example

See the idea in context

assistant := axllm.NewAgent("message:string -> reply:string", map[string]axllm.Value{
  "functionDiscovery": true,
  "functions": []axllm.Value{map[string]axllm.Value{
    "namespace": "kb",
    "title": "Knowledge Base",
    "selectionCriteria": "Use for policy or documentation lookup.",
    "functions": axllm.Array(search),
  }},
})

Run itIn your own project

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

package main

import (
    "context"
    "fmt"
    "os"

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

func main() {
    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)
    result, err := classify.Forward(context.Background(), client, map[string]axllm.Value{
        "review": "Useful and boring in the best way."
    }, nil)
    if err != nil {
        panic(err)
    }

    fmt.Println("sentiment:", result.(map[string]axllm.Value)["sentiment"])
}

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/short-agents/tools_agent.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