How to Migrate from OpenRouter to XALEN Without Breaking Your SDK

By Abhishek Raj · Updated May 20, 2026 · Our methodology

Before You Start: Compatibility Check

Before migrating, verify that the models you use on OpenRouter are available on XALEN. XALEN has 200+ models, but OpenRouter has 300+. If you rely on a niche model that XALEN does not carry, the migration will not work for those specific calls.

Pre-migration checklist:

1. List every model your application uses (check your OpenRouter dashboard or logs).
2. Verify each model exists on XALEN at xalen.io/models.
3. Note any OpenRouter-specific features you use (site URL header, cost tracking, provider routing preferences).
4. Check your current monthly spend to compare with XALEN pricing.
5. Ensure you have a rollback plan (keep your OpenRouter API key active).

Step 1: Get Your XALEN API Key

Sign up at xalen.io/signup and add at least $10 to your wallet (the minimum deposit). Navigate to Dashboard > API Keys and create a new key. Your key will have the format xln_test_YOUR_KEY_....

Store the key securely. XALEN shows it only once during creation. If you lose it, you can generate a new one but cannot retrieve the old one.

Step 2: SDK Swap (The 2-Line Change)

Both OpenRouter and XALEN use the OpenAI SDK format. The migration is two configuration changes:

Python (OpenAI SDK)

# Before (OpenRouter)
from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-v1-your-openrouter-key"
)

# After (XALEN) — change 2 lines
from openai import OpenAI

client = OpenAI(
    base_url="https://api.xalen.io/v1",
    api_key="xln_test_YOUR_KEY"  # use xln_test_YOUR_KEY_ for production
)

# Everything else stays the same
response = client.chat.completions.create(
    model="meta-llama/Llama-3.1-8B-Instruct",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"}
    ],
    temperature=0.7,
    max_tokens=500
)
print(response.choices[0].message.content)

JavaScript/TypeScript (OpenAI SDK)

// Before (OpenRouter)
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://openrouter.ai/api/v1',
  apiKey: 'sk-or-v1-your-openrouter-key'
});

// After (XALEN) — change 2 lines
import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.xalen.io/v1',
  apiKey: 'xln_test_YOUR_KEY'  // use xln_test_YOUR_KEY_ for production
});

// Everything else stays the same
const response = await client.chat.completions.create({
  model: 'meta-llama/Llama-3.1-8B-Instruct',
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'What is the capital of France?' }
  ],
  temperature: 0.7,
  max_tokens: 500
});
console.log(response.choices[0].message.content);

XALEN Native SDKs (Optional)

You can also use XALEN's native SDKs, which provide additional features like built-in retry logic, wallet balance checking, and domain computation endpoints:

# Python native SDK
pip install xalen

from xalen import XalenClient
client = XalenClient(api_key="xln_test_YOUR_KEY")
response = client.chat("What is the capital of France?",
                       model="meta-llama/Llama-3.1-8B-Instruct")

// JavaScript native SDK
npm install xalen-sdk

import { XalenClient } from 'xalen-sdk';
const client = new XalenClient({ apiKey: 'xln_test_YOUR_KEY' });
const response = await client.chat('What is the capital of France?',
                                   { model: 'meta-llama/Llama-3.1-8B-Instruct' });

Using the OpenAI SDK is recommended for migration because it minimizes code changes. Switch to native SDKs later if you want XALEN-specific features.

Step 3: Model Name Mapping

Both OpenRouter and XALEN use the provider/model-name format for model identifiers. Most model names are identical across both platforms. Here are the common models and their IDs on both:

Most popular models use identical IDs. For the full model catalog with IDs, see xalen.io/models. If a model ID does not match, the API will return a 404 with the available model list in the error message.

Step 4: Header Mapping

OpenRouter uses several custom headers that do not apply to XALEN. If your code sets these headers, they will be silently ignored by XALEN (no errors), but you should be aware of the differences:

Step 5: Error Code Translation

Both platforms use standard HTTP error codes, but the error message format differs slightly. If your application parses error responses, update the parsing logic:

Error codes are the same. The error body format follows the OpenAI convention: {"error": {"message": "...", "type": "...", "code": "..."}}. If you use the OpenAI SDK, errors are raised as exceptions with the same class hierarchy.

Step 6: Test with a Canary Request

Before switching production traffic, verify the integration works with a test request:

# Quick test with curl
curl https://api.xalen.io/v1/chat/completions \
  -H "Authorization: Bearer xln_test_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Llama-3.1-8B-Instruct",
    "messages": [{"role": "user", "content": "Say hello"}],
    "max_tokens": 50
  }'

Verify the response format matches what your application expects. The response structure follows the OpenAI format, so it should be identical to what you received from OpenRouter.

Step 7: Gradual Traffic Migration

For production applications, do not switch 100% of traffic at once. Use a gradual migration:

1. Day 1-2: Route 5% of traffic to XALEN. Monitor for errors, latency differences, and response quality.
2. Day 3-5: Increase to 25%. Compare token counts, costs, and model behavior between OpenRouter and XALEN for the same queries.
3. Day 6-7: Increase to 50%. Run your evaluation suite against XALEN responses.
4. Day 8-10: Increase to 90%. Keep OpenRouter as a fallback.
5. Day 11+: Switch to 100%. Deactivate OpenRouter API key after a grace period.

A simple traffic splitting approach using environment variables:

import os
import random
from openai import OpenAI

XALEN_PERCENTAGE = int(os.getenv("XALEN_TRAFFIC_PCT", "10"))

def get_client():
    if random.randint(1, 100) <= XALEN_PERCENTAGE:
        return OpenAI(
            base_url="https://api.xalen.io/v1",
            api_key=os.getenv("XALEN_API_KEY")
        )
    else:
        return OpenAI(
            base_url="https://openrouter.ai/api/v1",
            api_key=os.getenv("OPENROUTER_API_KEY")
        )

# Increase XALEN_TRAFFIC_PCT from 10 → 25 → 50 → 90 → 100

Rollback Checklist

If anything goes wrong during migration, revert to OpenRouter in under 60 seconds:

1. Set XALEN_TRAFFIC_PCT=0 (or equivalent in your routing logic).
2. Verify your OpenRouter API key is still active.
3. Check that your OpenRouter balance is sufficient.
4. Monitor error rates for 5 minutes after rollback.
5. Investigate the issue before attempting migration again.

Keep your OpenRouter API key active for at least 30 days after full migration. This provides a safety net if you discover a model behavior difference or edge case that was not caught during testing.

What You Gain by Migrating

Beyond the standard API gateway features, XALEN provides capabilities that OpenRouter does not:

• Batch processing at 50% off: Process large workloads (document analysis, content generation, evaluations) at half the real-time price. OpenRouter does not offer batch discounts.
• Domain computation: 130+ specialized endpoints for Vedic, Western, KP, and Vastu astrology powered by a proprietary ephemeris engine. Useful if your product touches faith-tech or wellness.
• 14 Indian language support: Optimized for Hindi, Tamil, Telugu, Bengali, and 10 other Indian languages with language-aware routing.
• MCP server: npx xalen-mcp provides 15 tools for AI-agent integration.
• Native SDKs: pip install xalen and npm install xalen-sdk with built-in retry logic and wallet management.

Step 8: Verify Model Behavior

The most subtle migration risk is not API compatibility but model behavior differences. Even identical models (same name, same weights) can produce slightly different outputs across providers due to differences in quantization, system prompt handling, temperature scaling, and inference frameworks. These differences are usually small but can matter for applications that depend on deterministic output.

To verify behavior parity, run your existing evaluation suite against XALEN and compare results. If you do not have a formal evaluation suite, at minimum test the following scenarios with your actual production prompts:

• Your most common user queries (10-20 representative samples).
• Edge cases that have caused issues historically.
• System prompt variations to verify consistent handling.
• Function calling or structured output if your application uses them.
• Long-context requests if you rely on large context windows.

What You Lose

In the interest of honesty:

• ~100 fewer models: XALEN has 200+ vs OpenRouter's 300+. Most popular models are available on both, but niche models may be missing.
• Smaller community: OpenRouter has a larger developer community and more third-party integrations.
• No free tier: XALEN requires a $10 minimum deposit. OpenRouter has a $5 minimum but also no free tier.
• Provider routing preferences: OpenRouter lets you specify preferred upstream providers. XALEN handles routing internally.

For a full comparison of both platforms, see OpenRouter alternatives.

Last updated: May 20, 2026. Migration tested with OpenAI Python SDK v1.30+ and JavaScript SDK v4.50+. XALEN is both an API gateway and model provider; see our methodology.