API Providers Overview

The goal of Llama Stack is to build an ecosystem where users can easily swap out different implementations for the same API. Examples for these include:

LLM inference providers (e.g., Meta Reference, Ollama, Fireworks, Together, AWS Bedrock, Groq, Cerebras, SambaNova, vLLM, OpenAI, Anthropic, Gemini, WatsonX, etc.),
Vector databases (e.g., FAISS, SQLite-Vec, ChromaDB, Weaviate, Qdrant, Milvus, PGVector, etc.),
Safety providers (e.g., Meta's Llama Guard, Prompt Guard, Code Scanner, AWS Bedrock Guardrails, etc.),
Tool Runtime providers (e.g., RAG Runtime, Brave Search, etc.)

Providers come in two flavors:

Remote: the provider runs as a separate service external to the Llama Stack codebase. Llama Stack contains a small amount of adapter code.
Inline: the provider is fully specified and implemented within the Llama Stack codebase. It may be a simple wrapper around an existing library, or a full fledged implementation within Llama Stack.

Importantly, Llama Stack always strives to provide at least one fully inline provider for each API so you can iterate on a fully featured environment locally.

External Providers

Llama Stack supports external providers that live outside of the main codebase. This allows you to create and maintain your own providers independently.

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external.md

:start-after: ## OpenAI API Compatibility

Inference

Runs inference with an LLM.

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inference/index

Agents

Run multi-step agentic workflows with LLMs with tool usage, memory (RAG), etc.

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agents/index

DatasetIO

Interfaces with datasets and data loaders.

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datasetio/index

Safety

Applies safety policies to the output at a Systems (not only model) level.

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safety/index

Telemetry

Collects telemetry data from the system.

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telemetry/index

Vector IO

Vector IO refers to operations on vector databases, such as adding documents, searching, and deleting documents. Vector IO plays a crucial role in Retreival Augmented Generation (RAG), where the vector io and database are used to store and retrieve documents for retrieval.

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vector_io/index

Tool Runtime

Is associated with the ToolGroup resources.

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tool_runtime/index

Files Providers

Is associated with the files APIs

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files/index

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