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ANONIMO432HZ
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cerebras-api

Interact with Cerebras chat completions API using Python and TypeScript SDKs.

5|1|Updated Mar 24, 2026
Search Tags:#api#streaming#tool-calling#openai-compatible#ai-inference#cerebras
One-click install
npx skills add https://github.com/ANONIMO432HZ/OmniBrain-AI-Proxy-Smart --skill cerebras-api-anonimo432hz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cerebras-api
Source: https://github.com/ANONIMO432HZ/OmniBrain-AI-Proxy-Smart/tree/main/.agents/skills/cerebras-api
Command: npx skills add https://github.com/ANONIMO432HZ/OmniBrain-AI-Proxy-Smart --skill cerebras-api-anonimo432hz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Cerebras provides a lightning-fast OpenAI-compatible API for AI inference, enabling developers to build scalable, streaming AI apps with minimal setup and no model hosting overhead.

Core Features & Use Cases

  • Streaming chat completions with low latency across supported models
  • Tool calling and structured outputs using JSON schemas
  • Python and TypeScript SDKs (cerebras_cloud_sdk) for easy integration

Quick Start

Get an API key, install the cerebras_cloud_sdk, and run a basic chat completion against a supported model.

Frequently Asked Questions about cerebras-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use Cerebras API for fast streaming AI inference?▼

Cerebras API enables fast streaming AI inference by providing an OpenAI-compatible endpoint for chat completions. It eliminates model hosting overhead while delivering low-latency responses across supported models.

Can I use OpenAI-compatible code with Cerebras API?▼

Yes, Cerebras API is OpenAI-compatible, allowing you to use existing code for chat completions and tool calling. It supports structured outputs using JSON schemas across supported models.

Does Cerebras API support tool calling and structured outputs?▼

Yes, Cerebras API supports tool calling and structured outputs using JSON schemas. This allows developers to enforce specific response formats and integrate external functions during inference.

What SDKs are available for Cerebras API integration?▼

Cerebras provides Python and TypeScript SDKs via the cerebras_cloud_sdk package. These SDKs enable easy integration for streaming chat completions, tool calling, and structured outputs.

How do I handle authentication and retries with Cerebras API?▼

The cerebras_cloud_sdk enforces authentication via API keys and includes built-in retry logic. This ensures reliable streaming behavior and model selection during chat completion requests.

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