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npm

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The Requesty provider for the Vercel AI SDK gives access to over 300 large language models through the Requesty chat and completion APIs.

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Setup

# For pnpm
pnpm add @requesty/ai-sdk

# For npm
npm install @requesty/ai-sdk

# For yarn
yarn add @requesty/ai-sdk

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API Key Setup

For security, you should set your API key as an environment variable named exactly REQUESTY_API_KEY:

# Linux/Mac
export REQUESTY_API_KEY=your_api_key_here

# Windows Command Prompt
set REQUESTY_API_KEY=your_api_key_here

# Windows PowerShell
$env:REQUESTY_API_KEY="your_api_key_here"

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Provider Instance

You can import the default provider instance requesty from @requesty/ai-sdk:

import { requesty } from '@requesty/ai-sdk';

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Example

import { requesty } from '@requesty/ai-sdk';
import { generateText } from 'ai';

const { text } = await generateText({
	model: requesty('openai/gpt-4o'),
	prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

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Supported Models

This list is not a definitive list of models supported by Requesty, as it constantly changes as we add new models (and deprecate old ones) to our system. You can find the latest list of models supported by Requesty here.

You can find the latest list of tool-supported models supported by Requesty here. (Note: This list may contain models that are not compatible with the AI SDK.)

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Passing Extra Body to Requesty

There are 3 ways to pass extra body to Requesty:

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1. Via the providerOptions.requesty property:

import { createRequesty } from '@requesty/ai-sdk';
import { streamText } from 'ai';

const requesty = createRequesty({ apiKey: process.env.REQUESTY_API_KEY });
const model = requesty('anthropic/claude-3.7-sonnet');
await streamText({
	model,
	messages: [{ role: 'user', content: 'Hello' }],
	providerOptions: {
		requesty: {
			custom_field: 'value',
		},
	},
});

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2. Via the extraBody property in the model settings:

import { createRequesty } from '@requesty/ai-sdk';
import { streamText } from 'ai';

const requesty = createRequesty({ apiKey: process.env.REQUESTY_API_KEY });
const model = requesty('anthropic/claude-3.7-sonnet', {
	extraBody: {
		custom_field: 'value',
	},
});
await streamText({
	model,
	messages: [{ role: 'user', content: 'Hello' }],
});

​
3. Via the extraBody property in the model factory:

import { createRequesty } from '@requesty/ai-sdk';
import { streamText } from 'ai';

const requesty = createRequesty({
	apiKey: process.env.REQUESTY_API_KEY,
	extraBody: {
		custom_field: 'value',
	},
});
const model = requesty('anthropic/claude-3.7-sonnet');
await streamText({
	model,
	messages: [{ role: 'user', content: 'Hello' }],
});

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Features

Access to 300+ LLMs

Use a single API to access models from OpenAI, Anthropic, Google, Mistral, and many more

Streaming Support

Full support for streaming responses for real-time applications

Tool Calling

Utilize function/tool calling capabilities with supported models

Type Safety

Built with TypeScript for enhanced developer experience

AI SDK Integration

Seamless integration with the AI SDK ecosystem

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Advanced Configuration

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Custom API URL

You can configure Requesty to use a custom API URL:

import { createRequesty } from '@requesty/ai-sdk';

const requesty = createRequesty({
	apiKey: process.env.REQUESTY_API_KEY,
	baseURL: 'https://router.requesty.ai/v1',
});

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Headers

Add custom headers to all requests:

import { createRequesty } from '@requesty/ai-sdk';

const requesty = createRequesty({
	apiKey: process.env.REQUESTY_API_KEY,
	headers: {
		'Custom-Header': 'custom-value',
	},
});

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Model Settings

Configure model-specific settings:

import { createRequesty } from '@requesty/ai-sdk';

const requesty = createRequesty({ apiKey: process.env.REQUESTY_API_KEY });
const model = requesty('openai/gpt-4o', {
	// Specific model to use with this request
	models: ['openai/gpt-4o', 'anthropic/claude-3-opus'],

	// Control the bias of specific tokens in the model's vocabulary
	logitBias: { 50256: -100 },

	// Request token-level log probabilities
	logprobs: 5,

	// User identifier for tracking or rate limiting
	user: 'user-123',

	// Additional body parameters
	extraBody: {
		custom_field: 'value',
	},
});