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Laminarity

An intelligent inference platform that routes every AI task to the optimal model.

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75.8%

Lower model cost.
Higher quality.

vs. Claude Fable 5.1 on our benchmark.

Connect your agents.

Works with clients that support an OpenAI-compatible base URL.

Quickstart
Python / OpenAI SDK
from openai import OpenAI
 
client = OpenAI(
    base_url="https://api.laminarity.ai/v1",
    api_key="YOUR_LAMINARITY_API_KEY",
)
 
response = client.chat.completions.create(
    model="auto",
    messages=[{"role": "user", "content": "Hello"}],
)

Enterprise Ready, Day One.

Set price limits, balance cost and quality, and choose providers.

Laminarity console with model, provider, price, and fallback controls

TokenOps

Analyze sampled AI requests to find repeated instructions, oversized context, and other token waste. Turn the findings into specific changes to your prompts and agents.

Explore TokenOps
TokenOps sample report with request analysis and prioritized prompt, context, and tool-output recommendations
Illustrative report with sample data.

Batch cost per 1,000 prompts (USD)

Laminarity$4.558
Claude Fable 5.1$18.826
75.8%

Lower model cost

0.9%

Higher quality

Score–Cost Frontier

Research
Higher and farther left is better. The dashed line connects fixed-model Pareto points; the purple line shows Laminarity operating points. Costs use a logarithmic scale.