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Decibyl AI

Build an agent

The SDK mirrors the node-and-edge model of the Voice Agent Builder. You create a Workflow, add nodes (startCall, agentNode, endCall, …) with add(), connect them with edge(), and persist the result via save_workflow.

Prerequisites

Build and save

The example below builds a three-node loan-qualification agent and saves it as a new draft version on an existing agent. Your published agent keeps serving calls until you explicitly publish the draft.

from decibyl_sdk import DecibylClient, Workflow


with DecibylClient(api_key="YOUR_API_KEY") as client:
    wf = Workflow(client=client, name="loan_qualification")


    greeting = wf.add(
        type="startCall",
        name="greeting",
        prompt="You are Sarah from Acme Loans. Greet the caller warmly.",
    )
    qualify = wf.add(
        type="agentNode",
        name="qualify",
        prompt="Ask about loan amount, purpose, and monthly income.",
    )
    done = wf.add(
        type="endCall",
        name="done",
        prompt="Thank them and end the call politely.",
    )


    wf.edge(greeting, qualify, label="interested", condition="Caller wants to continue.")
    wf.edge(qualify, done, label="done", condition="All qualification questions answered.")


    client.save_workflow(workflow_id=123, workflow=wf)
import { DecibylClient, Workflow } from "@decibyl/sdk";


const client = new DecibylClient({ apiKey: "YOUR_API_KEY" });
const wf = new Workflow({ client, name: "loan_qualification" });


const greeting = await wf.add({
    type: "startCall",
    name: "greeting",
    prompt: "You are Sarah from Acme Loans. Greet the caller warmly.",
});
const qualify = await wf.add({
    type: "agentNode",
    name: "qualify",
    prompt: "Ask about loan amount, purpose, and monthly income.",
});
const done = await wf.add({
    type: "endCall",
    name: "done",
    prompt: "Thank them and end the call politely.",
});


wf.edge(greeting, qualify, { label: "interested", condition: "Caller wants to continue." });
wf.edge(qualify, done, { label: "done", condition: "All qualification questions answered." });


await client.saveWorkflow(123, wf);

Edit an existing agent

Load an agent into an editable Workflow, mutate it, then save:

wf = client.load_workflow(workflow_id=123)
wf.name = "loan_qualification_v2"
client.save_workflow(workflow_id=123, workflow=wf)
const wf = await client.loadWorkflow(123);
wf.name = "loan_qualification_v2";
await client.saveWorkflow(123, wf);

Discover node types

Each node’s type string and required fields come from the backend’s node-spec catalog. Fetch it at runtime to validate what you can build:

types = client.list_node_types()
for spec in types.node_types:
    print(spec.name, [p.name for p in spec.properties])
const types = await client.listNodeTypes();
for (const spec of types.node_types) {
    console.log(spec.name, spec.properties.map(p => p.name));
}