Llama Stack

Llama Stack is a framework designed to streamline the development and deployment of generative AI applications. It provides a standardized set of composable, interoperable APIs that allow developers to build applications using various service providers. This service-oriented, REST API-first approach enables seamless transitions from local development to on-premise or cloud deployments, ensuring a consistent developer experience across different environments. Llama Stack focuses initially on Meta's Llama series of models but is designed to incorporate a wide range of open models and providers in the future.

The platform’s unique feature is its composable architecture, allowing developers to choose the best provider implementations for specific use cases, like model inference, vector stores, or observability tools. Llama Stack also supports federated APIs and resources. The project offers turnkey solutions for common scenarios, enabling developers to quickly launch powerful AI applications with agentic capabilities, model evaluations, and fine-tuning services, all with uniform observability. Client SDKs are available in multiple languages such as Python, Node.js, Swift and Kotlin, allowing for flexible application development.