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Composable building blocks to build Llama Apps
https://llama-stack.readthedocs.io
4e9633f7c3
# What does this PR do?
Change Safety API from required to optional dependency, following the
established pattern used for other optional dependencies in Llama Stack.
The provider now starts successfully without Safety API configured.
Requests that explicitly include guardrails will receive a clear error
message when Safety API is unavailable.
This enables local development and testing without Safety API while
maintaining clear error messages when guardrail features are requested.
Closes #4165
Signed-off-by: Anik Bhattacharjee <anbhatta@redhat.com>
## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->
1. New unit tests added in
`tests/unit/providers/agents/meta_reference/test_safety_optional.py`
2. Integration tests performed with the files in
https://gist.github.com/anik120/c33cef497ec7085e1fe2164e0705b8d6
(i) test with `test_integration_no_safety_fail.yaml`:
Config WITHOUT Safety API, should fail with helpful error since
`required_safety_api` is `true` by default
```
$ uv run llama stack run test_integration_no_safety_fail.yaml 2>&1 | grep -B 5 -A 15 "ValueError.*Safety\|Safety API is
required"
File "/Users/anbhatta/go/src/github.com/llamastack/llama-stack/src/llama_stack/providers/inline/agents/meta_reference
/__init__.py", line 27, in get_provider_impl
raise ValueError(
...<9 lines>...
)
ValueError: Safety API is required but not configured.
To run without safety checks, explicitly set in your configuration:
providers:
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
require_safety_api: false
Warning: This disables all safety guardrails for this agents provider.
```
(ii) test with `test_integration_no_safety_works.yaml`
Config WITHOUT Safety API, **but** `require_safety_api=false` is
explicitly set, should succeed
```
$ uv run llama stack run test_integration_no_safety_works.yaml
INFO 2025-11-16 09:49:10,044 llama_stack.cli.stack.run:169 cli: Using run configuration:
/Users/anbhatta/go/src/github.com/llamastack/llama-stack/test_integration_no_safety_works.yaml
INFO 2025-11-16 09:49:10,052 llama_stack.cli.stack.run:228 cli: HTTPS enabled with certificates:
Key: None
Cert: None
.
.
.
INFO 2025-11-16 09:49:38,528 llama_stack.core.stack:495 core: starting registry refresh task
INFO 2025-11-16 09:49:38,534 uvicorn.error:62 uncategorized: Application startup complete.
INFO 2025-11-16 09:49:38,535 uvicorn.error:216 uncategorized: Uvicorn running on http://0.0.0.0:8321 (Press CTRL+C
```
Signed-off-by: Anik Bhattacharjee <anbhatta@redhat.com>
Signed-off-by: Anik Bhattacharjee <anbhatta@redhat.com>
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| docs | ||
| scripts | ||
| src | ||
| tests | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitattributes | ||
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| .pre-commit-config.yaml | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| coverage.svg | ||
| LICENSE | ||
| MANIFEST.in | ||
| pyproject.toml | ||
| README.md | ||
| SECURITY.md | ||
| uv.lock | ||
Llama Stack
Quick Start | Documentation | Colab Notebook | Discord
🚀 One-Line Installer 🚀
To try Llama Stack locally, run:
curl -LsSf https://github.com/llamastack/llama-stack/raw/main/scripts/install.sh | bash
Overview
Llama Stack standardizes the core building blocks that simplify AI application development. It codifies best practices across the Llama ecosystem. More specifically, it provides
- Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals.
- Plugin architecture to support the rich ecosystem of different API implementations in various environments, including 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, Typescript, iOS, and Android.
- Standalone applications as examples for how to build production-grade AI applications with Llama Stack.
Llama Stack Benefits
- Flexible Options: Developers can choose their preferred infrastructure without changing APIs and enjoy flexible deployment choices.
- Consistent Experience: With its unified APIs, Llama Stack makes it easier to build, test, and deploy AI applications with consistent application behavior.
- Robust Ecosystem: Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies) that offer tailored infrastructure, software, and services for deploying Llama models.
By reducing friction and complexity, Llama Stack empowers developers to focus on what they do best: building transformative generative AI applications.
API Providers
Here is a list of the various API providers and available distributions that can help developers get started easily with Llama Stack. Please checkout for full list
| API Provider Builder | Environments | Agents | Inference | VectorIO | Safety | Post Training | Eval | DatasetIO |
|---|---|---|---|---|---|---|---|---|
| Meta Reference | Single Node | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| SambaNova | Hosted | ✅ | ✅ | |||||
| Cerebras | Hosted | ✅ | ||||||
| Fireworks | Hosted | ✅ | ✅ | ✅ | ||||
| AWS Bedrock | Hosted | ✅ | ✅ | |||||
| Together | Hosted | ✅ | ✅ | ✅ | ||||
| Groq | Hosted | ✅ | ||||||
| Ollama | Single Node | ✅ | ||||||
| TGI | Hosted/Single Node | ✅ | ||||||
| NVIDIA NIM | Hosted/Single Node | ✅ | ✅ | |||||
| ChromaDB | Hosted/Single Node | ✅ | ||||||
| Milvus | Hosted/Single Node | ✅ | ||||||
| Qdrant | Hosted/Single Node | ✅ | ||||||
| Weaviate | Hosted/Single Node | ✅ | ||||||
| SQLite-vec | Single Node | ✅ | ||||||
| PG Vector | Single Node | ✅ | ||||||
| PyTorch ExecuTorch | On-device iOS | ✅ | ✅ | |||||
| vLLM | Single Node | ✅ | ||||||
| OpenAI | Hosted | ✅ | ||||||
| Anthropic | Hosted | ✅ | ||||||
| Gemini | Hosted | ✅ | ||||||
| WatsonX | Hosted | ✅ | ||||||
| HuggingFace | Single Node | ✅ | ✅ | |||||
| TorchTune | Single Node | ✅ | ||||||
| NVIDIA NEMO | Hosted | ✅ | ✅ | ✅ | ✅ | ✅ | ||
| NVIDIA | Hosted | ✅ | ✅ | ✅ |
Note
: Additional providers are available through external packages. See External Providers documentation.
Distributions
A Llama Stack Distribution (or "distro") is a pre-configured bundle of provider implementations for each API component. Distributions make it easy to get started with a specific deployment scenario - you can begin with a local development setup (eg. ollama) and seamlessly transition to production (eg. Fireworks) without changing your application code. Here are some of the distributions we support:
| Distribution | Llama Stack Docker | Start This Distribution |
|---|---|---|
| Starter Distribution | llamastack/distribution-starter | Guide |
| Meta Reference | llamastack/distribution-meta-reference-gpu | Guide |
| PostgreSQL | llamastack/distribution-postgres-demo |
Documentation
Please checkout our Documentation page for more details.
- CLI references
- llama (server-side) CLI Reference: Guide for using the
llamaCLI to work with Llama models (download, study prompts), and building/starting a Llama Stack distribution. - llama (client-side) CLI Reference: Guide for using the
llama-stack-clientCLI, which allows you to query information about the distribution.
- llama (server-side) CLI Reference: Guide for using the
- Getting Started
- Quick guide to start a Llama Stack server.
- Jupyter notebook to walk-through how to use simple text and vision inference llama_stack_client APIs
- The complete Llama Stack lesson Colab notebook of the new Llama 3.2 course on Deeplearning.ai.
- A Zero-to-Hero Guide that guide you through all the key components of llama stack with code samples.
- Contributing
- Adding a new API Provider to walk-through how to add a new API provider.
Llama Stack Client SDKs
| Language | Client SDK | Package |
|---|---|---|
| Python | llama-stack-client-python |  |
| Swift | llama-stack-client-swift |  |
| Typescript | llama-stack-client-typescript |  |
| Kotlin | llama-stack-client-kotlin |  |
Check out our client SDKs for connecting to a Llama Stack server in your preferred language, you can choose from python, typescript, swift, and kotlin programming languages to quickly build your applications.
You can find more example scripts with client SDKs to talk with the Llama Stack server in our llama-stack-apps repo.
🌟 GitHub Star History
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✨ Contributors
Thanks to all of our amazing contributors!