Add SambaNova Providier

docs/source/distributions/self_hosted_distro/sambanova.md

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+---
+orphan: true
+---
+# SambaNova Distribution
+
+```{toctree}
+:maxdepth: 2
+:hidden:
+
+self
+```
+
+The `llamastack/distribution-sambanova` distribution consists of the following provider configurations.
+
+| API | Provider(s) |
+|-----|-------------|
+| agents | `inline::meta-reference` |
+| inference | `remote::sambanova` |
+| memory | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
+| safety | `inline::llama-guard` |
+| telemetry | `inline::meta-reference` |
+
+
+### Environment Variables
+
+The following environment variables can be configured:
+
+- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
+- `SAMBANOVA_API_KEY`: SambaNova.AI API Key (default: ``)
+
+### Models
+
+The following models are available by default:
+
+- `meta-llama/Llama-3.1-8B-Instruct`
+- `meta-llama/Llama-3.1-70B-Instruct`
+- `meta-llama/Llama-3.1-405B-Instruct`
+- `meta-llama/Llama-3.2-1B-Instruct`
+- `meta-llama/Llama-3.2-3B-Instruct`
+- `meta-llama/Llama-3.2-11B-Vision-Instruct`
+- `meta-llama/Llama-3.2-90B-Vision-Instruct`
+
+
+### Prerequisite: API Keys
+
+Make sure you have access to a SambaNova API Key. You can get one by visiting [SambaBova.ai](https://sambanova.ai/).
+
+
+## Running Llama Stack with SambaNova
+
+You can do this via Conda (build code) or Docker which has a pre-built image.
+
+### Via Docker
+
+This method allows you to get started quickly without having to build the distribution code.
+
+```bash
+LLAMA_STACK_PORT=5001
+docker run \
+  -it \
+  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
+  llamastack/distribution-sambanova \
+  --port $LLAMA_STACK_PORT \
+  --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
+```
+
+### Via Conda
+
+```bash
+llama stack build --template sambanova --image-type conda
+llama stack run ./run.yaml \
+  --port $LLAMA_STACK_PORT \
+  --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
+```