Whether you’re integrating directly with OpenAI, using a framework like Langchain or LlamaIndex, or building standalone applications, Obiguard offers a flexible, secure, and efficient way to manage and deploy AI-powered features.

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3 Ways to Integrate Obiguard

Obiguard can be accessed through three primary methods, each catering to different use cases and integration requirements:

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1. Obiguard SDKs (Python)

Ideal for: standalone applications or when you’re not already using the OpenAI integration. The SDKs are also highly recommended for seamless integration with frameworks like Langchain and LlamaIndex. The Obiguard SDKs are available in Python and JavaScript, designed to provide a streamlined, code-first approach to integrating LLMs into your applications.

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Installing the SDK

Choose the SDK that matches your development environment: 
pip install obiguard

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Usage

Once installed, you can use the SDK to make calls to LLMs, manage prompts, handle keys, and more, all through a simple and intuitive API.

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2. OpenAI SDK through the Obiguard Gateway

Ideal for: if you’re currently utilizing OpenAI’s Python or Node.js SDKs. By changing the base URL and adding Obiguard-specific headers, you can quickly integrate Obiguard’s features into your existing setup. Learn more here.

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3. REST API

Ideal for: applications that prefer RESTful services. The base URL for all REST API requests is https://gatewawy.Obiguard.ai/v1, with an authentication header. Learn more here.