How to Override OpenAI Base URL in Cursor IDE: Ultimate 2026 Developer Guide
As AI-assisted software development becomes the industry standard, Cursor IDE has emerged as one of the most productive code editors available. However, developers frequently encounter strict rate limits, unexpected 429 Too Many Requests errors, or high monthly costs when relying solely on default API channels for top-tier models like Claude 3.5 Sonnet, GPT-4o, and DeepSeek V3.
Fortunately, Cursor IDE provides native support to Override OpenAI Base URL. By routing your requests through a unified API gateway like AI Supermarket, you can unlock unthrottled concurrency, drastically reduce API expenses, and access all major LLMs under a single API key.
This comprehensive guide walks you through the root causes of Cursor rate limiting, a detailed feature comparison, step-by-step IDE setup, production Python/Node.js code snippets, and solutions to common configuration issues.
๐ Why Override OpenAI Base URL in Cursor IDE?โ
1. The Rate Limit Bottleneckโ
Official API providers enforce strict Tier 1 and Tier 2 rate limits based on Requests Per Minute (RPM) and Tokens Per Minute (TPM). During heavy refactoring sessions or multi-file codebase indexing in Cursor, you can easily hit these thresholds, resulting in freezing chat windows and broken code completions.
2. Eliminating Subscription Lock-Inโ
Juggling separate $20/month subscriptions across multiple platforms quickly adds up. A unified gateway allows for a transparent pay-as-you-go model where you pay only for the exact token volume consumed across OpenAI, Anthropic, Google, and DeepSeek.
3. Multi-Model Flexibility in One Placeโ
Instead of constantly re-configuring API keys when switching between models, a unified base URL lets you call claude-3-5-sonnet-20241022, gpt-4o, gemini-2.5-pro, and deepseek-chat seamlessly.
๐ Feature & Cost Comparison: Direct API vs. AI Supermarketโ
| Metric / Feature | Direct Official API | AI Supermarket Gateway |
|---|---|---|
| Pricing Model | High Pay-As-You-Go / Tiered | Discounted Pay-As-You-Go |
| Subscription Requirement | $20/mo per provider | $0 Monthly Fee |
| Concurrency & Rate Limits | Strict RPM/TPM caps (Tier 1/2) | High-concurrency enterprise pools |
| Supported Models | Single provider per key | All top LLMs in 1 key |
| Free Trial Credits | None (Credit card required) | Instant free test balance upon registration |
๐ ๏ธ Step-by-Step Guide: Overriding Base URL in Cursor IDEโ
Step 1: Obtain Your Endpoint and API Keyโ
- Navigate to AI Supermarket and complete registration (Instant free test balance upon registration).
- Go to your Dashboard -> Tokens / API Keys.
- Click Create New Token, set an optional name, and copy the generated key string (starts with
sk-). - Note your custom base endpoint URL:
https://aisupermarket.work/v1
Step 2: Configure Cursor IDE Settingsโ
- Launch Cursor IDE on your machine.
- Open Settings using the keyboard shortcut:
- Windows / Linux:
Ctrl + , - macOS:
Cmd + ,
- Windows / Linux:
- In the left sidebar, click Cursor Settings -> Models.
- Locate the OpenAI API Key field and paste your key from AI Supermarket.
- Click the Override OpenAI Base URL toggle/input field and type:
https://aisupermarket.work/v1 - Under model selections, enable your desired models:
claude-3-5-sonnet-20241022gpt-4odeepseek-chatgemini-2.5-pro
Step 3: Test and Verify the Connectionโ
Open the Cursor AI Chat window (Ctrl + L or Cmd + L) and type:
"Hello! Please confirm which model you are currently running on."
You should receive an instantaneous completion routed directly through AI Supermarket.
๐ป Production-Ready Integration Code Snippetsโ
Beyond Cursor IDE, you can use the exact same endpoint in your custom Python or Node.js applications.
Python SDK Integration Exampleโ
import os
from openai import OpenAI
# Initialize client pointing to AI Supermarket Gateway
client = OpenAI(
base_url="https://aisupermarket.work/v1",
api_key=os.getenv("AI_SUPERMARKET_API_KEY", "sk-your-token-here")
)
def generate_code_refactor(prompt: str):
try:
response = client.chat.completions.create(
model="claude-3-5-sonnet-20241022",
messages=[
{"role": "system", "content": "You are a senior staff software engineer."},
{"role": "user", "content": prompt}
],
temperature=0.2,
max_tokens=2048
)
return response.choices[0].message.content
except Exception as e:
print(f"Error calling LLM gateway: {e}")
return None
if __name__ == "__main__":
result = generate_code_refactor("Optimize a Python quicksort algorithm for memory footprint.")
print(result)
Node.js / TypeScript Integration Exampleโ
import OpenAI from 'openai';
const openai = new OpenAI({
baseURL: 'https://aisupermarket.work/v1',
apiKey: process.env.AI_SUPERMARKET_API_KEY || 'sk-your-token-here',
});
async function main() {
const completion = await openai.chat.completions.create({
messages: [{ role: 'user', content: 'Explain Rust async/await mechanics in 3 bullet points.' }],
model: 'deepseek-chat',
});
console.log(completion.choices[0].message.content);
}
main();
