Together AI

Obiguard provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Together AI APIs. With Obiguard, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring your provider credentials stay in Obiguard and callers authenticate with access keys.

Provider Slug. together-ai

Obiguard SDK Integration with Together AI Models

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

1. Install the Obiguard SDK

Add the Obiguard SDK to your application to interact with Together AI’s API through Obiguard’s gateway.

Python SDK

pip install obiguard

2. Initialize Obiguard with an access key

To use Together AI 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 with Together AI

Use the Obiguard instance to send requests to Together AI.

Python SDK

completion = client.chat.completions.create(
  messages= [{"role": 'user', "content": 'Say this is a test'}],
  model='togethercomputer/llama-2-70b-chat'
)

print(completion)

Next Steps

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

Obiguard SDK Client

Learn more about the Obiguard SDK Client

Ecosystem

AI Apps

Agents

LLMs

Vector Databases

Obiguard SDK Integration with Together AI Models

1. Install the Obiguard SDK

2. Initialize Obiguard with an access key

3. Invoke Chat Completions with Together AI

Next Steps

Obiguard SDK Client