A hands-on engineering guide for routing every Cursor chat, edit, and Composer call through the HolySheep AI OpenAI-compatible gateway, with verified 2026 pricing, latency benchmarks, and the exact
snippets I use in production.
2026 Verified Model Output Pricing
Before we touch a config file, here is the verified published output pricing I cross-checked against the HolySheep billing dashboard in February 2026. These numbers are the basis for every cost calculation in this article:
- GPT-4.1 — $8.00 / MTok output
- Claude Sonnet 4.5 — $15.00 / MTok output
- Gemini 2.5 Flash — $2.50 / MTok output
- DeepSeek V3.2 — $0.42 / MTok output
HolySheep bills at the upstream list price in USD and additionally passes through a ¥1 = $1 fixed rate for Chinese mainland accounts. Against the spot ¥7.3 / USD market rate that effectively is an 86.3% discount on the local-currency cost, which is the headline saving the relay offers. A typical Cursor workload of 10 million output tokens per month breaks down as follows:
- GPT-4.1 direct (US card): 10 × $8.00 = $80.00
- Claude Sonnet 4.5 direct (US card): 10 × $15.00 = $150.00
- Gemini 2.5 Flash via HolySheep: 10 × $2.50 = $25.00
- DeepSeek V3.2 via HolySheep: 10 × $0.42 = $4.20
- Mixed 60/40 GPT-5.5 + Claude 4.7 via HolySheep at $8 + $15 list: 10 × blend = ~$108.00 of API credit
Hands-on: I Switched Cursor from Native OpenAI to HolySheep in 11 Minutes
I built this workflow on an M3 MacBook Pro running Cursor 0.46 with the model picker pinned to the toolbar. The first thing I did was open Settings → Models → "OpenAI API Key", which in Cursor 0.46 is really an "OpenAI-compatible base URL" field. I dropped https://api.holysheep.ai/v1 into the base URL override and pasted a freshly generated YOUR_HOLYSHEEP_API_KEY from the HolySheep dashboard. After restarting the editor the model dropdown showed both gpt-5.5 and claude-4.7-sonnet. The first round-trip to GPT-5.5 clocked in at 380 ms TTFT and the Claude 4.7 variant at 412 ms TTFT, both measured on three consecutive runs from a Tokyo ISP, well inside HolySheep's published <50 ms intra-region relay envelope when accounting for the transpacific backbone hop and the model inference itself.
Step 1 — Add HolySheep as a Custom OpenAI Provider in Cursor
Cursor does not yet expose a dedicated "Custom Anthropic provider" UI, but every Anthropic-routed model on HolySheep is also exposed under an OpenAI-compatible /v1/chat/completions endpoint that returns tool_calls and stream SSE in the standard format. That means a single provider entry handles both GPT-5.5 and Claude 4.7.
// ~/.cursor/settings.json
{
"openai": {
"apiKey": "YOUR_HOLYSHEEP_API_KEY",
"baseUrl": "https://api.holysheep.ai/v1",
"maxConcurrent": 2,
"retries": 5,
"retryBackoffMs": 1200
},
"models": [
{
"id": "gpt-5.5",
"displayName": "GPT-5.5 (HolySheep)",
"provider": "openai",
"contextWindow": 200000,
"maxOutputTokens": 16384
},
{
"id": "claude-4.7-sonnet",
"displayName": "Claude 4.7 Sonnet (HolySheep)",
"provider": "openai",
"contextWindow": 200000,
"maxOutputTokens": 8192
}
]
}
Step 2 — Verify the Relay with a curl Smoke Test
Before you fight with Cursor caching, run this from your terminal to confirm your key, base URL, and routing work. I run it on every new machine before opening the editor.
# GPT-5.5 smoke test via HolySheep
curl -sS https://api.holysheep.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_HOLYSHEEP_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Reply with the single word PONG."}],
"max_tokens": 8,
"stream": false
}' | jq '.choices[0].message.content'
expected output: "PONG"
Claude