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Cerebras LLM - Pipecat

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Cerebras LLM

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Prerequisites
- Cerebras Account Setup
- Required Environment Variables
Configuration
- Settings
Usage
- Basic Setup
- With Custom Settings
Notes

Cerebras LLM

CerebrasLLMService accesses Cerebras language models for chat completion via an OpenAI-compatible interface with streaming.

Overview

CerebrasLLMService provides access to Cerebrass language models through an OpenAI-compatible interface. It inherits from OpenAILLMService and supports streaming responses, function calling, and context management with ultra-fast inference speeds.

Cerebras LLM API Reference

Pipecats API methods for Cerebras integration

Example Implementation

Complete example with function calling

Cerebras Documentation

Official Cerebras inference API documentation

Cerebras Platform

Access models and manage API keys

Installation

To use Cerebras services, install the required dependency:

uv add "pipecat-ai[cerebras]"

Prerequisites

Cerebras Account Setup

Before using Cerebras LLM services, you need:

Cerebras Account: Sign up at Cerebras Cloud
API Key: Generate an API key from your account dashboard
Model Selection: Choose from available Cerebras models with ultra-fast inference

Required Environment Variables

CEREBRAS_API_KEY: Your Cerebras API key for authentication

Configuration

api_key

str

required

Cerebras API key for authentication. Raises ValueError when empty.

base_url

str

default:"https://api.cerebras.ai/v1"

Base URL for Cerebras API endpoint.

model

str

default:"None"

deprecated

Deprecated since 0.0.105, removed in 2.0.0. Use settings=CerebrasLLMService.Settings(model=...) instead.

settings

CerebrasLLMService.Settings

default:"None"

Runtime-configurable settings. See Settings below.

Settings

Runtime-configurable settings passed via the settings constructor argument using CerebrasLLMService.Settings(...). These can be updated mid-conversation with LLMUpdateSettingsFrame. See Service Settings for details. This service uses the same settings as OpenAILLMService. See OpenAI LLM Settings for the full parameter reference. The default model is "gpt-oss-120b".

Usage

Basic Setup

import os
from pipecat.services.cerebras.llm import CerebrasLLMService

llm = CerebrasLLMService(
    api_key=os.getenv("CEREBRAS_API_KEY"),
    settings=CerebrasLLMService.Settings(model="gpt-oss-120b"),
)

With Custom Settings

from pipecat.services.cerebras.llm import CerebrasLLMService

llm = CerebrasLLMService(
    api_key=os.getenv("CEREBRAS_API_KEY"),
    settings=CerebrasLLMService.Settings(
        model="gpt-oss-120b",
        temperature=0.7,
        top_p=0.9,
        max_completion_tokens=1024,
    ),
)

Notes

Cerebras supports the full set of OpenAI chat completion parameters including frequency_penalty, presence_penalty, max_tokens, and service_tier.
Cerebras is known for ultra-fast inference speeds on supported models.
The service sends developer-role messages directly to Cerebrass developer instruction layer, which sits above user instructions in the prompt hierarchy.

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