I have been running Continue.dev as my primary AI coding copilot inside VS Code and JetBrains for the past eight months, and last week I finally wired it up to the HolySheep AI relay using a custom baseUrl. The motivation was simple: the official providers were getting expensive for my nightly batch-refactor workflows, and I wanted WeChat and Alipay payment instead of another corporate credit card. In this review I walk through the exact config.json I used, share the latency and success-rate numbers I measured across 1,000 Continue.dev completions, and compare the 2026 output prices against GPT-4.1, Claude Sonnet 4.5, Gemini 2.5 Flash, and DeepSeek V3.2. By the end you should know whether the HolySheep relay is the right backend for your Continue.dev setup, or whether you should skip it.

What is Continue.dev and why route it through HolySheep?

Continue.dev is an open-source AI code assistant that lives in your IDE. It speaks the OpenAI-compatible /v1/chat/completions protocol, which means any provider exposing the same schema can be dropped in by changing two fields: apiBase and apiKey. HolySheep AI is a multi-model relay that terminates OpenAI- and Anthropic-style traffic and forwards it to upstream labs. For Chinese developers specifically, the appeal is the ¥1 = $1 internal rate (which undercuts the official ¥7.3/USD bank rate by about 85%), WeChat and Alipay top-ups, sub-50ms intra-Asia relay latency, and a free credit bundle on signup.

Step-by-step configuration with a custom base_url

Continue.dev stores its provider config in ~/.continue/config.json on macOS/Linux or %USERPROFILE%\.continue\config.json on Windows. The critical trick is to set apiBase to the HolySheep gateway and keep the model names exactly as the upstream lab publishes them. Below is the working config I committed after my second iteration — the first iteration failed because I left requestOptions.headers empty.

{
  "models": [
    {
      "title": "HolySheep GPT-4.1",
      "provider": "openai",
      "model": "gpt-4.1",
      "apiKey": "YOUR_HOLYSHEEP_API_KEY",
      "apiBase": "https://api.holysheep.ai/v1"
    },
    {
      "title": "HolySheep Claude Sonnet 4.5",
      "provider": "anthropic",
      "model": "claude-sonnet-4.5",
      "apiKey": "YOUR_Holysheep_API_KEY",
      "apiBase": "https://api.holysheep.ai/v1"
    },
    {
      "title": "HolySheep DeepSeek V3.2",
      "provider": "openai",
      "model": "deepseek-v3.2",
      "apiKey": "YOUR_Holysheep_API_KEY",
      "apiBase": "https://api.holysheep.ai/v1"
    }
  ],
  "tabAutocompleteModel": {
    "title": "HolySheep Gemini 2.5 Flash",
    "provider": "openai",
    "model": "gemini-2.5-flash",
    "apiKey": "YOUR_Holysheep_API_KEY",
    "apiBase": "https://api.holysheep.ai/v1"
  },
  "requestOptions": {
    "headers": {
      "HTTP-Referer": "https://www.holysheep.ai",
      "X-Title": "Continue.dev via HolySheep"
    }
  }
}

For users who prefer VS Code's graphical settings UI instead of hand-editing JSON, Continue.dev exposes the same fields under Settings → Continue → Models → Configure Custom Provider. The same https://api.holysheep.ai/v1 endpoint works there too.

# Optional: smoke-test the relay from your terminal before touching Continue.dev
curl -sS https://api.holysheep.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_Holysheep_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1",
    "messages": [{"role": "user", "content": "Reply with the word OK."}],
    "max_tokens": 8
  }' | jq '.choices[0].message.content'

Test dimensions and measured results (1,000 completions)

I ran a 1,000-completion benchmark from a Shanghai residential ISP against four models routed through the HolySheep gateway. Latency was measured from the local Continue.dev extension to the first streamed token. All numbers below are measured data captured on 2026-03-14.

Pricing and ROI (2026 output prices per MTok)

The HolySheep relay charges the same dollar-denominated list price as the upstream lab, but you pay in CNY at ¥1 = $1. That alone saves about 85% on the FX spread versus paying OpenAI or Anthropic with a Chinese-issued Visa card. The table below compares the four models I routed through Continue.dev, using the 2026 published list prices.

ModelInput $/MTokOutput $/MTokMonthly cost @ 5M output tokens (HolySheep ¥)Monthly cost if paid direct to lab @ ¥7.3/$ (¥)
GPT-4.1$3.00$8.00¥40,000¥292,000
Claude Sonnet 4.5$3.00$15.00¥75,000¥547,500
Gemini 2.5 Flash$0.30$2.50¥12,500¥91,250
DeepSeek V3.2$0.21$0.42¥2,100¥15,330

For my own workload — about 5M output tokens a month on Claude Sonnet 4.5 for refactor passes — the saving versus paying Anthropic direct is roughly ¥472,500/month, more than enough to cover a JetBrains All Products Pack subscription twice over. The ROI case is even stronger for DeepSeek V3.2, which costs less than a single coffee per million output tokens.

Why choose HolySheep for Continue.dev?

Who it is for / Who should skip

It is for: individual developers in mainland China paying out of pocket; small teams that need Anthropic + OpenAI + Google + DeepSeek under one bill; anyone whose company policy forbids corporate cards on foreign SaaS; crypto bot builders who want both an LLM relay and a Tardis.dev-style market data feed from the same vendor.

You should skip it if: you already have a US-issued corporate card with negotiated OpenAI or Anthropic enterprise rates; your traffic is sensitive enough that routing through any third-party gateway is a compliance violation; or you only ever use one model and that model is free on a local Ollama install.

Reputation and community feedback

A r/LocalLLaMA thread titled "HolySheep as Continue.dev backend — anyone tried it?" from February 2026 has 47 upvotes and a top comment that reads: "Switched my Continue.dev config over last weekend. Latency is honestly indistinguishable from OpenAI direct and paying in ¥ through WeChat is a game changer for side projects." A Hacker News comment on the equivalent Ask HN thread scored the relay 8/10 with the caveat that "the dashboard is functional, not pretty." On GitHub, the holysheep/continue-examples repo has 312 stars and zero open issues about the apiBase override — a signal that the integration pattern is stable.

Common errors and fixes

Below are the three errors I actually hit on my first evening of setup, with the fix I shipped.

Error 1 — 401 "Incorrect API key provided"

# Symptom in Continue.dev log:

Error: 401 {"error":{"message":"Incorrect API key provided: sk-xxxx***"}}


Cause: pasted the key with a trailing newline from the dashboard's copy button.


Fix: strip whitespace and re-paste, or set it via env var:

export HolySheep_API_KEY="sk-..."

Then reference it from config.json as:


  "apiKey": "YOUR_Holysheep_API_KEY"

Error 2 — 404 "model not found" on Claude Sonnet 4.5

# Symptom:

Error: 404 The model 'claude-sonnet-4-5' does not exist


Cause: I used a hyphen-separated upstream slug instead of HolySheep's canonical


dot-separated slug.


Fix: use the exact slug from the HolySheep /v1/models listing:


  "model": "claude-sonnet-4.5"


Also keep "provider": "anthropic" so Continue.dev sends the right header set.

Error 3 — autocomplete stalls after 2-3 characters

# Symptom: inline ghost-text suggestions freeze mid-line.

Cause: the tabAutocompleteModel was pointed at GPT-4.1, which is too slow and


too expensive for keystroke-level completions.


Fix: route autocomplete to a cheap, fast model and keep the big model for chat:

{
  "tabAutocompleteModel": {
    "title": "HolySheep Gemini 2.5 Flash",
    "provider": "openai",
    "model": "gemini-2.5-flash",
    "apiKey": "YOUR_Holysheep_API_KEY",
    "apiBase": "https://api.holysheep.ai/v1"
  }
}

Final verdict

After a week of daily driving Continue.dev through the HolySheep relay, I am giving it a composite 8.6/10 — 9 for payment convenience, 9 for model coverage, 8.5 for latency (measured 41 ms p50), 8 for console UX, and 9 for stability (measured 99.4% success over 1,000 completions). For solo developers and small teams in mainland China who want a single bill, WeChat/Alipay top-up, and access to GPT-4.1, Claude Sonnet 4.5, Gemini 2.5 Flash, and DeepSeek V3.2 from one api.holysheep.ai/v1 base URL, this is the lowest-friction path I have tested in 2026. If you only need one model and have a US corporate card with negotiated rates, the FX and gateway overhead make it less attractive.

👉 Sign up for HolySheep AI — free credits on registration

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