diff --git a/recipes/javascript/voice-agents/v1/parallel-tool-calling/README.md b/recipes/javascript/voice-agents/v1/parallel-tool-calling/README.md
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+# Parallel Tool Calling (Voice Agents v1)
+
+Voice agents often need to gather data from multiple sources in a single turn — checking weather while looking up time zones, or querying a database and an external API simultaneously. Parallel tool calling lets the LLM request multiple functions at once, and your client executes them concurrently with `Promise.all`, reducing perceived latency compared to sequential calls.
+
+When the agent decides it needs multiple tools, Deepgram sends a single `FunctionCallRequest` with an array of functions. Your client runs them all in parallel and sends back individual `FunctionCallResponse` messages. The agent then composes all results into one natural response.
+
+## Key parameters
+
+| Parameter | Value | Description |
+|-----------|-------|-------------|
+| `think.functions` | `[{name, description, parameters}]` | Array of tool definitions the LLM can invoke |
+| `think.functions[].parameters` | JSON Schema object | Describes the expected arguments for each tool |
+| `FunctionCallRequest.functions` | Array | Contains one or more function calls — multiple means parallel execution |
+| `FunctionCallResponse.id` | String | Must match the `id` from the corresponding request |
+| `FunctionCallResponse.content` | String | The tool's result, sent back to the agent |
+
+## Example output
+
+```
+Settings applied with 3 tools registered
+User: What's the weather, time, and population in New York?
+Parallel call: 3 function(s) requested
+  get_weather({"city":"New York"}) → New York: 72°F, sunny
+  get_time({"timezone":"America/New_York"}) → Current time in America/New_York: 2:30 PM
+  get_population({"city":"New York"}) → New York population: 8.3 million
+Agent: In New York, it's currently 72°F and sunny. The time is 2:30 PM, and the city has a population of about 8.3 million.
+```
+
+## Prerequisites
+
+- Node.js 20+
+- Set `DEEPGRAM_API_KEY` environment variable
+- Install dependencies: `npm install` (from `recipes/javascript/`)
+
+## Run
+
+```bash
+node example.js
+```
diff --git a/recipes/javascript/voice-agents/v1/parallel-tool-calling/example.js b/recipes/javascript/voice-agents/v1/parallel-tool-calling/example.js
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+import { DeepgramClient } from "@deepgram/sdk";
+
+const tools = [
+  { name: "get_weather", description: "Get weather for a city", parameters: { type: "object", properties: { city: { type: "string" } }, required: ["city"] } },
+  { name: "get_time", description: "Get current time in a timezone", parameters: { type: "object", properties: { timezone: { type: "string" } }, required: ["timezone"] } },
+  { name: "get_population", description: "Get population of a city", parameters: { type: "object", properties: { city: { type: "string" } }, required: ["city"] } },
+];
+const handlers = {
+  get_weather: ({ city }) => `${city}: 72°F, sunny`,
+  get_time: ({ timezone }) => `Current time in ${timezone}: 2:30 PM`,
+  get_population: ({ city }) => `${city} population: 8.3 million`,
+};
+
+async function main() {
+  const client = new DeepgramClient();
+  const connection = await client.agent.v1.createConnection();
+  connection.on("message", async (data) => {
+    if (data.type === "SettingsApplied") {
+      console.log("Settings applied with 3 tools registered");
+      connection.sendInjectUserMessage({ type: "InjectUserMessage", content: "What's the weather, time, and population in New York?" });
+    } else if (data.type === "FunctionCallRequest") {
+      console.log(`Parallel call: ${data.functions.length} function(s) requested`);
+      const results = await Promise.all(data.functions.map(async (fn) => {
+        const args = JSON.parse(fn.arguments);
+        const result = handlers[fn.name]?.(args) ?? "Unknown tool";
+        console.log(`  ${fn.name}(${JSON.stringify(args)}) -> ${result}`);
+        return { id: fn.id, name: fn.name, content: result };
+      }));
+      results.forEach((r) => connection.sendFunctionCallResponse({ type: "FunctionCallResponse", ...r }));
+    } else if (data.type === "ConversationText") {
+      console.log(`${data.role === "assistant" ? "Agent" : "User"}: ${data.content}`);
+    }
+  });
+  connection.on("error", (err) => console.error("Error:", err));
+  connection.connect();
+  await connection.waitForOpen();
+  connection.sendSettings({
+    type: "Settings",
+    audio: { input: { encoding: "linear16", sample_rate: 24000 }, output: { encoding: "linear16", sample_rate: 16000, container: "wav" } },
+    agent: {
+      language: "en",
+      listen: { provider: { type: "deepgram", model: "nova-3" } },
+      think: { provider: { type: "open_ai", model: "gpt-4o-mini" }, prompt: "You are a helpful assistant. Use all available tools in parallel when the user asks about multiple things.", functions: tools },
+      speak: { provider: { type: "deepgram", model: "aura-2-thalia-en" } },
+    },
+  });
+  await new Promise((resolve) => setTimeout(resolve, 20000));
+  connection.close();
+}
+main().catch(console.error);
diff --git a/recipes/javascript/voice-agents/v1/parallel-tool-calling/example.test.js b/recipes/javascript/voice-agents/v1/parallel-tool-calling/example.test.js
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+import { describe, it } from "node:test";
+import { ok } from "node:assert";
+import { execSync } from "node:child_process";
+import { dirname } from "node:path";
+import { fileURLToPath } from "node:url";
+
+const __dirname = dirname(fileURLToPath(import.meta.url));
+
+describe("voice-agent-parallel-tool-calling", () => {
+  it("runs without error and produces output", () => {
+    const output = execSync("node example.js", {
+      cwd: __dirname,
+      timeout: 60000,
+      env: process.env,
+      encoding: "utf8",
+    });
+    ok(output.trim().length > 0, "Expected non-empty output");
+  });
+});