Migrate from Vercel AI Gateway

Keep your Vercel AI SDK code, add response caching, detailed analytics, and smart routing. One provider for all models.

Quick Migration

Swap your provider imports—your AI SDK code stays the same:

- import { openai } from "@ai-sdk/openai";
- import { anthropic } from "@ai-sdk/anthropic";
+ import { generateText } from "ai";
+ import { createLLMGateway } from "@llmgateway/ai-sdk-provider";

+ const llmgateway = createLLMGateway({
+   apiKey: process.env.LLM_GATEWAY_API_KEY
+ });

const { text } = await generateText({
-   model: openai("gpt-5.2"),
+   model: llmgateway("gpt-5.2"),
  prompt: "Hello!"
});

The key difference: one provider, one API key, all models—with caching and analytics built in.

Migration Steps

Get Your doteb API Key

Install the doteb AI SDK Provider

Install the native doteb provider for the Vercel AI SDK:

pnpm add @llmgateway/ai-sdk-provider

This package provides full compatibility with the Vercel AI SDK and supports all doteb features.

Update Your Code

Basic Text Generation

// Before (Vercel AI Gateway with native providers)
import { openai } from "@ai-sdk/openai";
import { anthropic } from "@ai-sdk/anthropic";
import { generateText } from "ai";

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

const { text: claudeText } = await generateText({
	model: anthropic("claude-3-5-sonnet-20241022"),
	prompt: "Hello!",
});

// After (doteb - single provider for all models)
import { createLLMGateway } from "@llmgateway/ai-sdk-provider";
import { generateText } from "ai";

const llmgateway = createLLMGateway({
	apiKey: process.env.LLM_GATEWAY_API_KEY,
});

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

const { text: claudeText } = await generateText({
	model: llmgateway("anthropic/claude-3-5-sonnet-20241022"),
	prompt: "Hello!",
});

Streaming Responses

import { createLLMGateway } from "@llmgateway/ai-sdk-provider";
import { streamText } from "ai";

const llmgateway = createLLMGateway({
	apiKey: process.env.LLM_GATEWAY_API_KEY,
});

const { textStream } = await streamText({
	model: llmgateway("anthropic/claude-3-5-sonnet-20241022"),
	prompt: "Write a poem about coding",
});

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

Using in Next.js API Routes

// app/api/chat/route.ts
import { createLLMGateway } from "@llmgateway/ai-sdk-provider";
import { streamText } from "ai";

const llmgateway = createLLMGateway({
	apiKey: process.env.LLM_GATEWAY_API_KEY,
});

export async function POST(req: Request) {
	const { messages } = await req.json();

	const result = await streamText({
		model: llmgateway("openai/gpt-4o"),
		messages,
	});

	return result.toDataStreamResponse();
}

Alternative: Using OpenAI SDK Adapter

If you prefer not to install a new package, you can use @ai-sdk/openai with a custom base URL:

import { createOpenAI } from "@ai-sdk/openai";
import { generateText } from "ai";

const llmgateway = createOpenAI({
	baseURL: "https://api.doteb.com/v1",
	apiKey: process.env.LLM_GATEWAY_API_KEY,
});

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

Update Environment Variables

# Remove individual provider keys (optional - can keep as backup)
# OPENAI_API_KEY=sk-...
# ANTHROPIC_API_KEY=sk-ant-...

# Add doteb key
export LLM_GATEWAY_API_KEY=llmgtwy_your_key_here

Model Name Format

doteb supports two model ID formats:

Root Model IDs (without provider prefix) - Uses smart routing to automatically select the best provider based on uptime, throughput, price, and latency:

gpt-4o
claude-3-5-sonnet-20241022
gemini-1.5-pro

Provider-Prefixed Model IDs - Routes to a specific provider with automatic failover if uptime drops below 90%:

openai/gpt-4o
anthropic/claude-3-5-sonnet-20241022
google-ai-studio/gemini-1.5-pro

For more details on routing behavior, see the routing documentation.

Model Mapping Examples

Vercel AI SDK	doteb
`openai("gpt-4o")`	`llmgateway("gpt-4o")` or `llmgateway("openai/gpt-4o")`
`anthropic("claude-3-5-sonnet-20241022")`	`llmgateway("claude-3-5-sonnet-20241022")` or `llmgateway("anthropic/claude-3-5-sonnet-20241022")`
`google("gemini-1.5-pro")`	`llmgateway("gemini-1.5-pro")` or `llmgateway("google-ai-studio/gemini-1.5-pro")`

Check the models page for the full list of available models.

Tool Calling

doteb supports tool calling through the AI SDK:

import { createLLMGateway } from "@llmgateway/ai-sdk-provider";
import { generateText, tool } from "ai";
import { z } from "zod";

const llmgateway = createLLMGateway({
	apiKey: process.env.LLM_GATEWAY_API_KEY,
});

const { text, toolResults } = await generateText({
	model: llmgateway("openai/gpt-4o"),
	tools: {
		weather: tool({
			description: "Get the weather for a location",
			parameters: z.object({
				location: z.string(),
			}),
			execute: async ({ location }) => {
				return { temperature: 72, condition: "sunny" };
			},
		}),
	},
	prompt: "What's the weather in San Francisco?",
});

Self-Hosting doteb

If you prefer self-hosting, use the self-hosting guide or the deployment package supplied for your environment.

This gives you the same managed experience with full control over your infrastructure.

Migrate from Vercel AI Gateway

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