Delegate a job to a specialist agent
You expose a child agent as a typed specialist with its own tools, runtime, and context. Use one when the delegated job needs an independent agent loop.
Worked example
See the idea in context
assistant := axllm.NewAgent("message:string -> reply:string", map[string]axllm.Value{
"functions": axllm.Array(search),
"contextFields": []axllm.Value{},
})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.
From a clone of the ax repo:
npm run example -- go src/examples/go/short-agents/tools_agent.goActive practice
Answer 2 in a row to learn this · attempt 1