Build with Sarvam AI in the Vercel AI SDK

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import { sarvam } from "sarvam-ai-sdk";

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import { sarvam } from "sarvam-ai-sdk";
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import { generateText } from "ai";
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try {
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  const { text } = await generateText({
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    model: sarvam("sarvam-30b"),
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    prompt: "Translate this to malayalam: 'Keep cooking, guys'",
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  });
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  console.log(text); // പാചകം തുടരൂ, സുഹൃത്തുക്കളേ
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} catch (error) {
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  console.error("generateText failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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import { generateSpeech } from "ai";
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import { writeFile } from "fs/promises";
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try {
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  const { audio } = await generateSpeech({
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    model: sarvam.speech("bulbul:v3", "ml-IN"),
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    text: "പാചകം തുടരൂ, സുഹൃത്തുക്കളേ",
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  });
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  const audioBuffer = Buffer.from(audio.base64, "base64");
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  await writeFile("./output.wav", audioBuffer);
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} catch (error) {
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  console.error("generateSpeech failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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import { transcribe } from "ai";
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import { readFile } from "fs/promises";
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try {
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  const { text } = await transcribe({
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    model: sarvam.transcription("saaras:v3", "en-IN"),
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    audio: await readFile("./input.wav"),
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  });
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  console.log(text); // Pachakam thudaroo, suhruthukkale.
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} catch (error) {
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  console.error("transcribe failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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import { generateText } from "ai";
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try {
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  const result = await generateText({
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    model: sarvam.translation("mayura:v1", {
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      from: "ml-IN",
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      to: "en-IN",
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    }),
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    prompt: "ഇതൊക്കെ ശ്രദ്ധിക്കണ്ടേ അംബാനെ?",
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  });
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  console.log(result.text); // Shouldn't we be careful about this, Ambane?
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} catch (error) {
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  console.error("Translation failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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import { generateText } from "ai";
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try {
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  const result = await generateText({
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    model: sarvam.transliterate({
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      to: "ml-IN",
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      from: "en-IN", // optional
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    }),
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    prompt: "eda mone, happy alle?",
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  });
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  console.log(result.text); // എടാ മോനെ, ഹാപ്പി അല്ലേ?
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} catch (error) {
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  console.error("Transliteration failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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import { generateText } from "ai";
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try {
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  const result = await generateText({
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    model: sarvam.languageIdentification(),
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    prompt: "ബുദ്ധിയാണ് സാറേ ഇവൻ്റെ മെയിൻ",
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  });
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  console.log(result.text); // ml-IN
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} catch (error) {
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  console.error("Language identification failed:", error);
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}

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import { z } from "zod";
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import { generateText, tool } from "ai";
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import { sarvam } from "sarvam-ai-sdk";
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try {
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  const result = await generateText({
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    model: sarvam("sarvam-30b"),
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    tools: {
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      weather: tool({
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        description: "Get the weather in a location",
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        inputSchema: z.object({
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          location: z.string(),
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        }),
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        execute: async ({ location }) => ({
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          location,
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          temperature: 72 + Math.floor(Math.random() * 21) - 10,
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        }),
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      }),
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    },
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    instructions: "You are a helpful AI",
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    prompt: "കൊച്ചിയിലെ കാലാവസ്ഥ എന്താണ്?",
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  });
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  console.log(result.toolResults);
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} catch (error) {
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  console.error("Tool call failed:", error);
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}

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import { z } from "zod";
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import { sarvam } from "sarvam-ai-sdk";
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import { generateText, Output } from "ai";
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try {
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  const { output } = await generateText({
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    model: sarvam("sarvam-105b"),
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    output: Output.object({
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      name: "Recipe",
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      description: "A recipe with a name, ingredients and steps",
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      schema: z.object({
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        recipe: z.object({
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          name: z.string(),
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          ingredients: z.array(z.string()),
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          steps: z.array(z.string()),
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        }),
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      }),
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    }),
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    prompt: "Generate a South Indian recipe, in Malayalam",
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  });
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  console.log(output);
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} catch (error) {
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  console.error("Structured output generation failed:", error);
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}

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import { sarvam } from "sarvam-ai-sdk";
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// Chat completion
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sarvam("sarvam-105b");
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sarvam.languageModel("sarvam-30b");
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// Transliteration
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sarvam.transliterate({ to: "ml-IN", from: "en-IN" });
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// Translation
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sarvam.translation("mayura:v1", { from: "en-IN", to: "ml-IN" });
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// Language identification
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sarvam.languageIdentification();
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// Text-to-speech
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sarvam.speech("bulbul:v3", "ml-IN");
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// Speech-to-text
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sarvam.transcription("saaras:v3");