forked from phoenix-oss/llama-stack-mirror
22dc684da6
# What does this PR do? This PR adds SambaNova as one of the Provider - Add SambaNova as a provider ## Test Plan Test the functional command ``` pytest -s -v --providers inference=sambanova llama_stack/providers/tests/inference/test_embeddings.py llama_stack/providers/tests/inference/test_prompt_adapter.py llama_stack/providers/tests/inference/test_text_inference.py llama_stack/providers/tests/inference/test_vision_inference.py --env SAMBANOVA_API_KEY=<sambanova-api-key> ``` Test the distribution template: ``` # Docker 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 # Conda llama stack build --template sambanova --image-type conda llama stack run ./run.yaml \ --port $LLAMA_STACK_PORT \ --env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY ``` ## Source [SambaNova API Documentation](https://cloud.sambanova.ai/apis) ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [Y] Ran pre-commit to handle lint / formatting issues. - [Y] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [Y] Updated relevant documentation. - [Y ] Wrote necessary unit or integration tests. --------- Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
74 lines
1.8 KiB
Markdown
74 lines
1.8 KiB
Markdown
---
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orphan: true
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---
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# SambaNova Distribution
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```{toctree}
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:maxdepth: 2
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:hidden:
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self
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```
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The `llamastack/distribution-sambanova` distribution consists of the following provider configurations.
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| API | Provider(s) |
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|-----|-------------|
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| agents | `inline::meta-reference` |
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| inference | `remote::sambanova` |
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| memory | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
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| safety | `inline::llama-guard` |
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| telemetry | `inline::meta-reference` |
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### Environment Variables
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The following environment variables can be configured:
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- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
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- `SAMBANOVA_API_KEY`: SambaNova.AI API Key (default: ``)
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### Models
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The following models are available by default:
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- `meta-llama/Llama-3.1-8B-Instruct`
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- `meta-llama/Llama-3.1-70B-Instruct`
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- `meta-llama/Llama-3.1-405B-Instruct`
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- `meta-llama/Llama-3.2-1B-Instruct`
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- `meta-llama/Llama-3.2-3B-Instruct`
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- `meta-llama/Llama-3.2-11B-Vision-Instruct`
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- `meta-llama/Llama-3.2-90B-Vision-Instruct`
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### Prerequisite: API Keys
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Make sure you have access to a SambaNova API Key. You can get one by visiting [SambaBova.ai](https://sambanova.ai/).
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## Running Llama Stack with SambaNova
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You can do this via Conda (build code) or Docker which has a pre-built image.
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### Via Docker
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This method allows you to get started quickly without having to build the distribution code.
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```bash
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LLAMA_STACK_PORT=5001
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docker run \
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-it \
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-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
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llamastack/distribution-sambanova \
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--port $LLAMA_STACK_PORT \
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--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
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```
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### Via Conda
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```bash
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llama stack build --template sambanova --image-type conda
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llama stack run ./run.yaml \
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--port $LLAMA_STACK_PORT \
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--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
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```
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