API documentationLolopi
AI Platform
One API, every leading AI model, automatic routing — with built-in tools and quality control.
How it works
Three steps, zero complexity. From request to result in milliseconds.
Send your request
Via API or SDK (Python, TypeScript). OpenAI-compatible, one-line migration.
The Smart Router chooses
Analyzes 7 signals to route to the best model in real time.
Quality Gate validates
Automatic evaluation in <1ms, retries if needed. Zero mediocre answers.
Everything you need
A complete platform that simplifies access to the best-performing AI models.
7 AI providers
Claude, DeepSeek, GLM, Qwen, Mistral, Gemini — all accessible through a single endpoint.
34 models, 3 Lolopi models
34 backend models available. 3 virtual Lolopi models: balanced, fast, smart.
7-signal Smart Router
Intelligent routing with self-learning. Analyzes complexity, language, cost, latency, and more.
Quality Gate
Evaluates every response in <1ms. Automatically re-routes if quality is insufficient.
15 built-in tools
Web search, calculator, memory, data extraction, and much more — with zero configuration.
Multi-step workflows
6 pre-configured templates to easily orchestrate complex AI pipelines.
Per-provider prompt optimization
Every prompt is automatically adapted to the selected provider for optimal results.
Why Lolopi
Comparison with alternatives on the market.
| Capability | Lolopi | OpenRouter | LiteLLM | Portkey |
|---|---|---|---|---|
| Intelligent routing (7 signals) | ||||
| Quality Gate (self-evaluation + retry) | ||||
| Per-provider prompt optimization | ||||
| Built-in tools (15 tools) | ||||
| Multi-step workflows | ||||
| Semantic cache | ||||
| OpenAI-compatible API |
Not open for sign-ups yet
Lolopi is in use internally and is not on sale yet — there is no free tier and no plan to start. Tell us what you would run through it and we will come back to you when it opens.
Integration in a few lines
OpenAI-compatible. Just change the import and the model.
from lolopi import Lolopi client = Lolopi(api_key="your-key") response = client.chat.completions.create( model="lolopi-smart", # Auto-routes to best model messages=[{"role": "user", "content": "Explain quantum computing"}], tools=["web_search", "calculator"],)