Cerebras

Obiguard provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including the models hosted on Cerebras Inference API.

Provider Slug: cerebras

Obiguard SDK Integration with Cerebras

Obiguard provides a consistent API to interact with models from various providers. To integrate Cerebras with Obiguard:

1. Install the Obiguard SDK

Python SDK

pip install obiguard

2. Initialize Obiguard with Cerebras

To use Cerebras with Obiguard, get your API key from here. Add it to Obiguard as a provider credential, then create an access key for the agent or project that will call it.

Python SDK

from obiguard import Obiguard

client = Obiguard(
  obiguard_api_key="ak***",  # Your Obiguard access key
)

3. Invoke Chat Completions

Python SDK

completion = client.chat.completions.create(
  messages= [{"role": 'user', "content": 'Say this is a test'}],
  model= 'llama3.1-8b'
)

Supported Models

Cerebras currently supports Llama-3.1-8B and Llama-3.1-70B. You can find more info here:

Overview - Starter KitStarter Kit

Next Steps

The complete list of features supported in the SDK are available on the link below.

Ecosystem

AI Apps

Agents

LLMs

Vector Databases

Obiguard SDK Integration with Cerebras

1. Install the Obiguard SDK

2. Initialize Obiguard with Cerebras

3. Invoke Chat Completions

Supported Models

Next Steps

SDK

​Obiguard SDK Integration with Cerebras

​1. Install the Obiguard SDK

​2. Initialize Obiguard with Cerebras

​3. Invoke Chat Completions

​Supported Models

​Next Steps

SDK

Obiguard SDK Integration with Cerebras

1. Install the Obiguard SDK

2. Initialize Obiguard with Cerebras

3. Invoke Chat Completions

Supported Models

Next Steps