AI Stats Gateway Provider for Vercel AI SDK

Official Vercel AI SDK provider for AI Stats Gateway, enabling access to 55+ AI providers through a unified interface.

Features

✨ Unified Access - Use 55+ AI providers (OpenAI, Anthropic, Google, Mistral, DeepSeek, and more) through a single SDK 🔄 Full AI SDK v6 Support - Works with all Vercel AI SDK primitives:

• Text: generateText, streamText, generateObject, streamObject
• Embeddings: embed, embedMany
• Images: generateImage
• Audio: transcribe (STT), speak (TTS) 🛠️ Tool Calling - Complete support for function/tool calling with parallel execution 📦 Structured Output - Generate typed objects with JSON schemas 🔢 Embeddings - Generate vector embeddings for semantic search and similarity 🖼️ Image Generation - Create images from text prompts (DALL-E, Flux, etc.) 🎙️ Speech & Transcription - Text-to-speech and speech-to-text capabilities ⚡ Streaming - Real-time token streaming with usage tracking 🔐 Type-Safe - Full TypeScript support with strict types 🌐 Provider Routing - Automatic health-aware routing and failover

Installation

npm install @ai-stats/ai-sdk-provider ai@^6

Quick Start

Basic Usage

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { generateText } from "ai";

const result = await generateText({
	model: aiStats("openai/gpt-4o"),
	prompt: "Explain quantum computing in simple terms",
});

console.log(result.text);

Streaming

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { streamText } from "ai";

const { textStream } = await streamText({
	model: aiStats("anthropic/claude-3-5-sonnet"),
	prompt: "Write a poem about TypeScript",
});

for await (const chunk of textStream) {
	process.stdout.write(chunk);
}

Tool Calling

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { generateText } from "ai";
import { z } from "zod";

const result = await generateText({
	model: aiStats("openai/gpt-4o"),
	prompt: "What is the weather in San Francisco?",
	tools: {
		getWeather: {
			description: "Get weather for a location",
			parameters: z.object({
				location: z.string(),
			}),
			execute: async ({ location }) => ({
				temperature: 72,
				conditions: "sunny",
			}),
		},
	},
});

Structured Output

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { generateObject } from "ai";
import { z } from "zod";

const { object } = await generateObject({
	model: aiStats("openai/gpt-4o"),
	schema: z.object({
		name: z.string(),
		age: z.number(),
		email: z.string().email(),
	}),
	prompt: "Generate a sample user profile",
});

Embeddings

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { embed, embedMany } from "ai";

// Single embedding
const { embedding } = await embed({
	model: aiStats.textEmbeddingModel("openai/text-embedding-3-small"),
	value: "Hello, world!",
});

// Batch embeddings
const { embeddings } = await embedMany({
	model: aiStats.textEmbeddingModel("openai/text-embedding-3-small"),
	values: ["First text", "Second text", "Third text"],
});

Image Generation

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { generateImage } from "ai";

const { images } = await generateImage({
	model: aiStats.imageModel("openai/dall-e-3"),
	prompt: "A serene landscape with mountains at sunset",
	size: "1024x1024",
});

console.log(images[0].url); // Image URL or base64

Audio Transcription (Speech-to-Text)

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { transcribe } from "ai";
import { readFileSync } from "fs";

const audioData = readFileSync("./audio.mp3");

const { text, segments } = await transcribe({
	model: aiStats.transcriptionModel("openai/whisper-1"),
	audioData: new Blob([audioData], { type: "audio/mp3" }),
	language: "en", // optional
});

console.log(text); // Transcribed text

Text-to-Speech

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { speak } from "ai";
import { writeFileSync } from "fs";

const { audio } = await speak({
	model: aiStats.speechModel("openai/tts-1"),
	text: "Hello, this is text to speech!",
	voice: "alloy", // alloy, echo, fable, onyx, nova, shimmer
	outputFormat: "mp3",
});

writeFileSync("./speech.mp3", audio);

Configuration

Environment Variable

Set your API key as an environment variable:

export AI_STATS_API_KEY=your_api_key_here

Then use the default instance:

import { aiStats } from "@ai-stats/ai-sdk-provider";

const result = await generateText({
	model: aiStats("openai/gpt-4o"),
	prompt: "Hello!",
});

Custom Configuration

import { createAIStats } from "@ai-stats/ai-sdk-provider";

const aiStats = createAIStats({
	apiKey: "your_api_key",
	baseURL: "https://api.phaseo.app/v1", // optional
	headers: {
		"X-Custom-Header": "value", // optional
	},
});

Model Settings

Configure model-specific parameters:

const result = await generateText({
	model: aiStats("openai/gpt-4o"),
	prompt: "Hello!",
	temperature: 0.7,
	maxTokens: 1000,
	topP: 0.9,
	frequencyPenalty: 0.5,
	presencePenalty: 0.5,
	seed: 12345, // for deterministic output
});

Supported Providers

Access 55+ AI providers through the gateway:

Major Providers

• OpenAI: openai/gpt-4o, openai/gpt-4-turbo, openai/gpt-3.5-turbo
• Anthropic: anthropic/claude-3-5-sonnet, anthropic/claude-3-opus, anthropic/claude-3-haiku
• Google: google/gemini-2.5-pro-latest, google/gemini-2.5-flash-latest
• Mistral: mistral/mistral-large, mistral/mistral-small
• X.AI: x-ai/grok-3, x-ai/grok-2

Open Source Models

• DeepSeek: deepseek/deepseek-chat, deepseek/deepseek-coder
• Qwen: qwen/qwen-3-235b, qwen/qwen-3-32b
• Meta: meta/llama-3.3-70b, meta/llama-3.1-405b

Specialized Providers

• Groq: Ultra-fast inference for Llama, Mixtral, Gemma
• Together AI: Open source models with fast inference
• Fireworks: Optimized inference for open models
• Cerebras: Extremely fast inference

View all supported models →

Model ID Format

Models use the format provider/model-id:

// OpenAI models
aiStats("openai/gpt-4o");
aiStats("openai/gpt-4-turbo");

// Anthropic models
aiStats("anthropic/claude-3-5-sonnet");
aiStats("anthropic/claude-3-opus");

// Google models
aiStats("google/gemini-2.5-pro-latest");

// DeepSeek models
aiStats("deepseek/deepseek-chat");

API Reference

createAIStats(settings?)

Creates a new AI Stats provider instance.

Parameters:

• settings.apiKey (string, optional) - API key for authentication. Defaults to AI_STATS_API_KEY env var.
• settings.baseURL (string, optional) - Gateway base URL. Default: https://api.phaseo.app/v1
• settings.headers (object, optional) - Additional headers to include in requests
• settings.fetch (function, optional) - Custom fetch implementation

Returns: Provider function (modelId: string, settings?: ModelSettings) => LanguageModelV3

aiStats(modelId, settings?)

Default provider instance using AI_STATS_API_KEY environment variable.

Parameters:

• modelId (string, required) - Model ID in format provider/model
• settings (object, optional) - Model-specific settings

Model Settings:

• temperature (number) - Sampling temperature (0-2)
• maxTokens (number) - Maximum tokens to generate
• topP (number) - Nucleus sampling threshold (0-1)
• topK (number) - Top-K sampling threshold
• frequencyPenalty (number) - Frequency penalty (-2.0 to 2.0)
• presencePenalty (number) - Presence penalty (-2.0 to 2.0)
• seed (number) - Random seed for deterministic output
• user (string) - User identifier for tracking

Examples

See the examples/ directory for complete working examples:

Text & Language:

• basic-text.ts - Simple text generation
• streaming.ts - Streaming text generation
• tools.ts - Function/tool calling
• structured-output.ts - Generating structured data

Embeddings & Search:

• embeddings.ts - Vector embeddings and similarity

Images:

• image-generation.ts - Generate images from text

Audio:

• audio-transcription.ts - Speech-to-text
• text-to-speech.ts - Text-to-speech

Multi-Provider:

• multi-provider.ts - Comparing multiple providers

Testing

The package includes comprehensive test coverage using Vitest and AI SDK mock models:

Run Mock Tests (Free - No API Calls)

cd packages/integrations/ai-sdk-ai-stats
pnpm test

Mock tests use MockLanguageModelV3 and MockEmbeddingModelV3 from ai/test to validate functionality without making actual API calls.

Run Integration Tests (Requires API Key)

AI_STATS_API_KEY=your_key pnpm test

Integration tests make real calls to the AI Stats Gateway and are automatically enabled when an API key is present.

Test Coverage

pnpm test -- --coverage

Test files:

• tests/language-model.test.ts - Text generation, streaming, tools, structured output (mocked)
• tests/embedding-model.test.ts - Embeddings generation and similarity (mocked)
• tests/gateway-integration.test.ts - Real gateway tests (requires API key)

Advanced Usage

Custom Fetch Implementation

import { createAIStats } from "@ai-stats/ai-sdk-provider";

const aiStats = createAIStats({
	fetch: async (url, init) => {
		console.log("Request:", url);
		const response = await fetch(url, init);
		console.log("Response:", response.status);
		return response;
	},
});

Error Handling

import { aiStats } from "@ai-stats/ai-sdk-provider";
import { generateText } from "ai";

try {
	const result = await generateText({
		model: aiStats("openai/gpt-4o"),
		prompt: "Hello!",
	});
} catch (error: any) {
	if (error.status === 401) {
		console.error("Invalid API key");
	} else if (error.status === 429) {
		console.error("Rate limit exceeded");
	} else if (error.status >= 500) {
		console.error("Server error, will retry");
	} else {
		console.error("Error:", error.message);
	}
}

Usage Tracking

const result = await generateText({
	model: aiStats("openai/gpt-4o"),
	prompt: "Hello!",
});

console.log("Prompt tokens:", result.usage.promptTokens);
console.log("Completion tokens:", result.usage.completionTokens);
console.log(
	"Total tokens:",
	result.usage.promptTokens + result.usage.completionTokens
);

How It Works

1. Provider Selection: You specify a model using provider/model format
2. Gateway Routing: The AI Stats Gateway routes your request to the appropriate provider
3. Health-Aware Failover: If a provider fails, the gateway automatically tries alternatives
4. Response Normalization: Responses are normalized to AI SDK format
5. Usage Tracking: Token usage and costs are tracked automatically

Benefits of Using AI Stats Gateway

• Unified Billing: Pay once, use multiple providers
• Automatic Failover: High availability with provider redundancy
• Cost Optimization: Gateway routes to the most cost-effective provider
• Usage Analytics: Detailed analytics and usage tracking
• Rate Limit Management: Gateway handles rate limiting across providers
• Model Aliasing: Use virtual model names that map to real models

Troubleshooting

"AI Stats API key is required"

Make sure you've set the AI_STATS_API_KEY environment variable or passed apiKey to createAIStats().

"Gateway request failed: 401"

Your API key is invalid. Check that you're using the correct key from your AI Stats account.

"Gateway request failed: 429"

You've exceeded your rate limit. Wait a moment and try again, or upgrade your plan.

Streaming not working

Ensure you're using streamText or streamObject from the AI SDK, not generateText or generateObject.

Tool calls not being executed

Make sure you've provided the execute function in your tool definition. The AI SDK handles execution automatically.

TypeScript Support

This package is written in TypeScript and provides full type definitions:

import type {
	AIStatsSettings,
	AIStatsModelSettings,
} from "@ai-stats/ai-sdk-provider";

const settings: AIStatsSettings = {
	apiKey: "your_key",
	baseURL: "https://api.phaseo.app/v1",
};

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

MIT License - see LICENSE for details.

Links

• AI Stats Gateway
• Vercel AI SDK
• Documentation
• API Reference
• GitHub

Support

• Documentation: https://ai-stats.phaseo.app/docs
• Discord: Join our community
• Email: [email protected]

Made with ❤️ by the AI Stats team