forked from phoenix-oss/llama-stack-mirror
d495922949
# What does this PR do? The goal of this PR is to make the pages easier to navigate by surfacing the child pages on the navbar, updating some of the copy, moving some of the files around. Some changes: 1. Clarifying Titles 2. Restructuring "Distributions" more formally in its own page to be consistent with Providers and adding some clarity to the child pages to surface them and make them easier to navigate 3. Updated sphinx config to not collapse navigation by default 4. Updated copyright year to be calculated dynamically 5. Moved `docs/source/distributions/index.md` -> `docs/source/distributions/starting_llama_stack_server.md` Another for https://github.com/meta-llama/llama-stack/issues/1815 ## Test Plan Tested locally and pages build (screen shots for example). ## Documentation ### Before:  ### After:  Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
107 lines
5.2 KiB
Markdown
107 lines
5.2 KiB
Markdown
```{admonition} News
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:class: tip
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Llama Stack {{ llama_stack_version }} is now available! See the {{ llama_stack_version_link }} for more details.
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```
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# Llama Stack
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## What is Llama Stack?
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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
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- **Unified API layer** for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
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- **Plugin architecture** to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
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- **Prepackaged verified distributions** which offer a one-stop solution for developers to get started quickly and reliably in any environment
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- **Multiple developer interfaces** like CLI and SDKs for Python, Node, iOS, and Android
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- **Standalone applications** as examples for how to build production-grade AI applications with Llama Stack
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```{image} ../_static/llama-stack.png
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:alt: Llama Stack
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:width: 400px
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```
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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.
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## How does Llama Stack work?
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Llama Stack consists of a [server](./distributions/index.md) (with multiple pluggable API [providers](./providers/index.md)) and [client SDKs](#available-sdks) meant to
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be used in your applications. The server can be run in a variety of environments, including local (inline)
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development, on-premises, and cloud. The client SDKs are available for Python, Swift, Node, and
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Kotlin.
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## Quick Links
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- New to Llama Stack? Start with the [Introduction](introduction/index) to understand our motivation and vision.
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- Ready to build? Check out the [Quick Start](getting_started/index) to get started.
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- Need specific providers? Browse [Distributions](distributions/selection) to see all the options available.
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- Want to contribute? See the [Contributing](contributing/index) guide.
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## Available SDKs
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We have a number of client-side SDKs available for different languages.
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| **Language** | **Client SDK** | **Package** |
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| :----: | :----: | :----: |
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| Python | [llama-stack-client-python](https://github.com/meta-llama/llama-stack-client-python) | [](https://pypi.org/project/llama_stack_client/)
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| Swift | [llama-stack-client-swift](https://github.com/meta-llama/llama-stack-client-swift/tree/latest-release) | [](https://swiftpackageindex.com/meta-llama/llama-stack-client-swift)
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| Node | [llama-stack-client-node](https://github.com/meta-llama/llama-stack-client-node) | [](https://npmjs.org/package/llama-stack-client)
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| Kotlin | [llama-stack-client-kotlin](https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release) | [](https://central.sonatype.com/artifact/com.llama.llamastack/llama-stack-client-kotlin)
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## Supported Llama Stack Implementations
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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.
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**Inference API**
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| **Provider** | **Environments** |
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| :----: | :----: |
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| Meta Reference | Single Node |
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| Ollama | Single Node |
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| Fireworks | Hosted |
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| Together | Hosted |
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| NVIDIA NIM | Hosted and Single Node |
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| vLLM | Hosted and Single Node |
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| TGI | Hosted and Single Node |
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| AWS Bedrock | Hosted |
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| Cerebras | Hosted |
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| Groq | Hosted |
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| SambaNova | Hosted |
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| PyTorch ExecuTorch | On-device iOS, Android |
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| OpenAI | Hosted |
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| Anthropic | Hosted |
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| Gemini | Hosted |
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**Vector IO API**
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| **Provider** | **Environments** |
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| :----: | :----: |
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| FAISS | Single Node |
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| SQLite-Vec| Single Node |
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| Chroma | Hosted and Single Node |
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| Milvus | Hosted and Single Node |
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| Postgres (PGVector) | Hosted and Single Node |
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| Weaviate | Hosted |
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**Safety API**
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| **Provider** | **Environments** |
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| :----: | :----: |
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| Llama Guard | Depends on Inference Provider |
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| Prompt Guard | Single Node |
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| Code Scanner | Single Node |
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| AWS Bedrock | Hosted |
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```{toctree}
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:hidden:
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:maxdepth: 3
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self
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introduction/index
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getting_started/index
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concepts/index
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providers/index
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distributions/index
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building_applications/index
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playground/index
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contributing/index
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references/index
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```
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