PremAI Python SDK Quickstart: Complete Guide (2026)

PremAI's Python SDK provides an OpenAI-like development experience while maintaining complete control over data privacy by running within a user's infrastructure, thus eliminating the need for data to flow through external servers. The SDK offers a comprehensive guide for users, covering aspects from basic installation to creating production-ready implementations, including chat completions, retrieval-augmented generation (RAG) with document repositories, embeddings, fine-tuning, and integrations with frameworks like LangChain and LlamaIndex. Unlike other AI SDKs, PremAI allows deployment on AWS, GCP, or Azure, supports model portability, and offers a unified API for over 50 models, eliminating separate vector databases thanks to built-in RAG. The SDK landscape has evolved with major players like OpenAI, Anthropic, and Together AI adopting features like open-source SDKs and enhanced HTTP client libraries, making PremAI's approach of using httpx and Pydantic a standard. The guide also outlines best practices for security, data management, and error handling, aiming to help users build scalable, privacy-conscious AI applications efficiently.