feat(examples): add multi-node Workflow SDK example in Python and TypeScript (#440)

* feat(examples): add multi-node Workflow SDK example in Python and TypeScript

Closes #369

* docs: preserve workflow name in SDK build examples

---------

Co-authored-by: Abhishek Kumar <abhishek@a6k.me>

examples/typescript/build_workflow_with_sdk.ts

@@ -0,0 +1,84 @@
+// Build a multi-node voice agent using the Workflow SDK and save it as a draft.
+//
+// Requirements:
+//   npm install @dograh/sdk
+//
+// Environment variables:
+//   DOGRAH_API_ENDPOINT  - Dograh API base URL (e.g. http://localhost:8000)
+//   DOGRAH_API_TOKEN     - API token sent as X-API-Key
+//
+// Run:
+//   npx tsx build_workflow_with_sdk.ts
+
+import { DograhClient, Workflow } from "@dograh/sdk";
+
+// Replace with the numeric ID of an existing agent in your Dograh account.
+// Create one via the UI or with create_workflow.ts if you don't have one yet.
+const WORKFLOW_ID = 0;
+
+async function main(): Promise<void> {
+    const apiEndpoint = process.env.DOGRAH_API_ENDPOINT ?? "http://localhost:8000";
+    const apiToken = process.env.DOGRAH_API_TOKEN;
+
+    if (!apiToken) throw new Error("DOGRAH_API_TOKEN is required");
+    if (WORKFLOW_ID === 0) throw new Error("Set WORKFLOW_ID at the top of this file to an existing workflow ID");
+
+    const client = new DograhClient({
+        baseUrl: apiEndpoint,
+        apiKey: apiToken,
+    });
+
+    const existing = await client.getWorkflow(WORKFLOW_ID);
+    // Preserve the live workflow name; saveWorkflow sends name with the draft update.
+    const wf = new Workflow({ client, name: existing.name });
+
+    const greeting = await wf.add({
+        type: "startCall",
+        name: "greeting",
+        prompt: [
+            "# Goal",
+            "You are a helpful agent having a conversation over voice with a human. This is a voice conversation, so transcripts can be error prone.",
+            "",
+            "## Flow",
+            "Greet the caller warmly and ask whether they would like to continue.",
+        ].join("\n"),
+    });
+    const qualify = await wf.add({
+        type: "agentNode",
+        name: "qualify",
+        prompt: [
+            "# Goal",
+            "Qualify the lead by asking about their needs, budget, and timeline.",
+            "",
+            "## Rules",
+            "- Keep responses short — 2-3 sentences max",
+            "- Confirm all three answers before moving on",
+        ].join("\n"),
+    });
+    const done = await wf.add({
+        type: "endCall",
+        name: "done",
+        prompt: "Thank the caller for their time and let them know the team will follow up shortly.",
+    });
+
+    wf.edge(greeting, qualify, {
+        label: "interested",
+        condition: "Caller confirms they want to continue.",
+    });
+    wf.edge(qualify, done, {
+        label: "qualified",
+        condition: "All qualification questions have been answered.",
+    });
+
+    const result = await client.saveWorkflow(WORKFLOW_ID, wf);
+    const nodeCount = ((result.workflow_definition?.nodes as unknown[]) ?? []).length;
+    console.log(
+        `Saved workflow ${result.id}: ${JSON.stringify(result.name)} ` +
+        `(version=${result.version_number}, status=${result.version_status}, nodes=${nodeCount})`,
+    );
+}
+
+main().catch((err) => {
+    console.error(err);
+    process.exit(1);
+});

examples/typescript/package.json

@@ -6,6 +6,7 @@
   "scripts": {
     "call": "tsx --env-file=.env fetch_workflow_and_call.ts",
     "create": "tsx --env-file=.env create_workflow.ts",
+    "build": "tsx --env-file=.env build_workflow_with_sdk.ts",
     "edit": "tsx --env-file=.env load_and_edit_workflow.ts"
   },
   "dependencies": {