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From OpenRouter

Migrate from OpenRouter

Switch to LLM Gateway for built-in analytics, self-hosting options, and simpler API. Two-line code change.

LLM Gateway works just like OpenRouter—same API format, same model names—but with built-in analytics and the option to self-host. Migration takes two lines of code.

Quick Migration

Change your base URL and API key:

1- const baseURL = "https://openrouter.ai/api/v1";
2- const apiKey = process.env.OPENROUTER_API_KEY;
3+ const baseURL = "https://api.llmgateway.io/v1";
4+ const apiKey = process.env.LLM_GATEWAY_API_KEY;

Migration Steps

1. Get Your LLM Gateway API Key

Sign up at llmgateway.io/signup and create an API key from your dashboard.

2. Update Environment Variables

1# Remove OpenRouter credentials
2# OPENROUTER_API_KEY=sk-or-...
3

4# Add LLM Gateway credentials
5LLM_GATEWAY_API_KEY=llmgtwy_your_key_here

3. Update Your Code

Using fetch/axios

1// Before (OpenRouter)
2const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
3  method: "POST",
4  headers: {
5    Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
6    "Content-Type": "application/json",
7  },
8  body: JSON.stringify({
9    model: "openai/gpt-5.2",
10    messages: [{ role: "user", content: "Hello!" }],
11  }),
12});
13

14// After (LLM Gateway)
15const response = await fetch("https://api.llmgateway.io/v1/chat/completions", {
16  method: "POST",
17  headers: {
18    Authorization: `Bearer ${process.env.LLM_GATEWAY_API_KEY}`,
19    "Content-Type": "application/json",
20  },
21  body: JSON.stringify({
22    model: "gpt-5.2",
23    messages: [{ role: "user", content: "Hello!" }],
24  }),
25});

Using OpenAI SDK

1import OpenAI from "openai";
2

3// Before (OpenRouter)
4const client = new OpenAI({
5  baseURL: "https://openrouter.ai/api/v1",
6  apiKey: process.env.OPENROUTER_API_KEY,
7});
8

9// After (LLM Gateway)
10const client = new OpenAI({
11  baseURL: "https://api.llmgateway.io/v1",
12  apiKey: process.env.LLM_GATEWAY_API_KEY,
13});
14

15// Usage remains the same
16const completion = await client.chat.completions.create({
17  model: "anthropic/claude-3-5-sonnet-20241022",
18  messages: [{ role: "user", content: "Hello!" }],
19});

Using Vercel AI SDK

Both OpenRouter and LLM Gateway have native AI SDK providers, making migration straightforward:

1import { generateText } from "ai";
2

3// Before (OpenRouter AI SDK Provider)
4import { createOpenRouter } from "@openrouter/ai-sdk-provider";
5

6const openrouter = createOpenRouter({
7  apiKey: process.env.OPENROUTER_API_KEY,
8});
9

10const { text } = await generateText({
11  model: openrouter("gpt-5.2"),
12  prompt: "Hello!",
13});
14

15// After (LLM Gateway AI SDK Provider)
16import { createLLMGateway } from "@llmgateway/ai-sdk-provider";
17

18const llmgateway = createLLMGateway({
19  apiKey: process.env.LLMGATEWAY_API_KEY,
20});
21

22const { text } = await generateText({
23  model: llmgateway("gpt-5.2"),
24  prompt: "Hello!",
25});

Model Name Mapping

Most model names are compatible, but here are some common mappings:

OpenRouter Model LLM Gateway Model
openai/gpt-5.2 gpt-5.2 or openai/gpt-5.2
gemini/gemini-3-flash-preview gemini-3-flash-preview or google-ai-studio/gemini-3-flash-preview
bedrock/claude-opus-4-5-20251101 claude-opus-4-5-20251101 or aws-bedrock/claude-opus-4-5-20251101

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

Streaming Support

LLM Gateway supports streaming responses identically to OpenRouter:

1const stream = await client.chat.completions.create({
2  model: "anthropic/claude-3-5-sonnet-20241022",
3  messages: [{ role: "user", content: "Write a story" }],
4  stream: true,
5});
6

7for await (const chunk of stream) {
8  process.stdout.write(chunk.choices[0]?.delta?.content || "");
9}

Full Comparison

Want to see a detailed breakdown of all features? Check out our LLM Gateway vs OpenRouter comparison page.

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