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**Description** This PR adjusts the external providers documentation to align with the new providers format. Splits up sections into the existing external providers and how to create them as well. <img width="1049" height="478" alt="Screenshot 2025-07-31 at 9 48 26 AM" src="https://github.com/user-attachments/assets/f13599cb-2fd1-4e57-8ca9-27b067264e33" /> Open to feedback and adjusting titles
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API Providers
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.
:maxdepth: 1
external/index
openai
inference/index
agents/index
datasetio/index
safety/index
telemetry/index
vector_io/index
tool_runtime/index
files/index