Start using the kluster.ai API＃
The kluster.ai API provides a straightforward way to work with Large Language Models (LLMs) at scale. It is compatible with OpenAI's API and SDKs, making it easy to integrate into your existing workflows with minimal code changes.
This guide provides copy-and-paste examples for both Python and curl (although all OpenAI's SDKs are supported) and detailed explanations to help you get started quickly.
Install prerequisites＃
The OpenAI Python library (version 1.0.0 or higher) is recommended, which can be installed with:
pip install "openai>=1.0.0"
Get your API key＃
Navigate to the kluster.ai developer console API Keys section and create a new key from there. You'll need this for all API requests.
For step-by-step instructions, refer to the Get an API key guide.
API request limits＃
The following limits apply to API requests based on your plan tier:
| Restriction | Free tier | Standard tier |
|---|---|---|
| Context size | 32k | 164k (deepseek-r1) / 131k (others) |
| Max output | 4k | 164k (deepseek-r1) / 131k (others) |
| Concurrent requests | 2 | 10 |
| Request limit | 1/min | 60/min |
| Realtime request priority | Standard | High |
| Batch request priority | Standard | High |
Where to go next＃
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Guide Real-time inference
Build AI-powered applications that deliver instant, real-time responses.
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Guide Batch inference
Process large-scale data efficiently with AI-powered batch inference.
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Reference API reference
Explore the complete kluster.ai API documentation and usage details.