Simplify LLM Integrations with AI Gateway

In this video, Developers Digest demonstrates how to use Portkey’s AI Gateway to simplify Large Language Model (LLM) integrations within applications. The tutorial covers various features of AI Gateway, including the universal API that standardizes interactions with multiple AI providers such as Mistral, Perplexity, and OpenAI. The video highlights the benefits of caching for cost savings and improved inference speed, as well as fallbacks and automatic retries for error management. Load balancing and canary testing are discussed as methods to distribute queries across different models and test new models with a subset of users. The tutorial also shows how to create and use virtual keys to securely store API keys and manage access. Additionally, the video explores Portkey’s observability platform for tracking tokens, costs, latency, and errors. The speaker demonstrates how to set up a new project using Bun or Node.js, configure the environment, and use the platform’s logging feature to monitor and optimize queries.