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Llama Stack 0.1.1 is now available! See the [release notes](https://github.com/meta-llama/llama-stack/releases/tag/v0.1.1) for more details.
Llama Stack
Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments. More specifically, it provides
- Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
- Plugin architecture to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
- Prepackaged verified distributions which offer a one-stop solution for developers to get started quickly and reliably in any environment
- Multiple developer interfaces like CLI and SDKs for Python, Node, iOS, and Android
- Standalone applications as examples for how to build production-grade AI applications with Llama Stack
We focus on making it easy to build production applications with the Llama model family - from the latest Llama 3.3 to specialized models like Llama Guard for safety.
:alt: Llama Stack
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Our goal is to provide pre-packaged implementations (aka "distributions") which can be run in a variety of deployment environments. LlamaStack can assist you in your entire app development lifecycle - start iterating on local, mobile or desktop and seamlessly transition to on-prem or public cloud deployments. At every point in this transition, the same set of APIs and the same developer experience is available.
Quick Links
- New to Llama Stack? Start with the Introduction to understand our motivation and vision.
- Ready to build? Check out the Quick Start to get started.
- Need specific providers? Browse Distributions to see all the options available.
- Want to contribute? See the Contributing guide.
Available SDKs
We have a number of client-side SDKs available for different languages.
| Language | Client SDK | Package |
|---|---|---|
| Python | llama-stack-client-python |  |
| Swift | llama-stack-client-swift |  |
| Node | llama-stack-client-node |  |
| Kotlin | llama-stack-client-kotlin |  |
Supported Llama Stack Implementations
A number of "adapters" are available for some popular Inference and Vector Store providers. For other APIs (particularly Safety and Agents), we provide reference implementations you can use to get started. We expect this list to grow over time. We are slowly onboarding more providers to the ecosystem as we get more confidence in the APIs.
Inference API
| Provider | Environments |
|---|---|
| Meta Reference | Single Node |
| Ollama | Single Node |
| Fireworks | Hosted |
| Together | Hosted |
| NVIDIA NIM | Hosted and Single Node |
| vLLM | Hosted and Single Node |
| TGI | Hosted and Single Node |
| AWS Bedrock | Hosted |
| Cerebras | Hosted |
| Groq | Hosted |
| SambaNova | Hosted |
| PyTorch ExecuTorch | On-device iOS, Android |
Vector IO API
| Provider | Environments |
|---|---|
| FAISS | Single Node |
| Chroma | Hosted and Single Node |
| Postgres (PGVector) | Hosted and Single Node |
| Weaviate | Hosted |
Safety API
| Provider | Environments |
|---|---|
| Llama Guard | Depends on Inference Provider |
| Prompt Guard | Single Node |
| Code Scanner | Single Node |
| AWS Bedrock | Hosted |
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self
introduction/index
getting_started/index
concepts/index
distributions/index
distributions/selection
building_applications/index
playground/index
contributing/index
references/index