forked from phoenix-oss/llama-stack-mirror
# What does this PR do? Includes SambaNova safety adaptor to use the sambanova cloud served Meta-Llama-Guard-3-8B minor updates in sambanova docs ## Test Plan pytest -s -v tests/integration/safety/test_safety.py --stack-config=sambanova --safety-shield=sambanova/Meta-Llama-Guard-3-8B
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SambaNova Distribution
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self
The llamastack/distribution-{{ name }}
distribution consists of the following provider configurations.
{{ providers_table }}
{% if run_config_env_vars %}
Environment Variables
The following environment variables can be configured:
{% for var, (default_value, description) in run_config_env_vars.items() %}
{{ var }}
: {{ description }} (default:{{ default_value }}
) {% endfor %} {% endif %}
{% if default_models %}
Models
The following models are available by default:
{% for model in default_models %}
{{ model.model_id }} {{ model.doc_string }}
{% endfor %} {% endif %}
Prerequisite: API Keys
Make sure you have access to a SambaNova API Key. You can get one by visiting 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
LLAMA_STACK_PORT=8321
llama stack build --template sambanova --image-type container
docker run \
-it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
-v ~/.llama:/root/.llama \
distribution-{{ name }} \
--port $LLAMA_STACK_PORT \
--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
Via Venv
llama stack build --template sambanova --image-type venv
llama stack run --image-type venv ~/.llama/distributions/sambanova/sambanova-run.yaml \
--port $LLAMA_STACK_PORT \
--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY
Via Conda
llama stack build --template sambanova --image-type conda
llama stack run --image-type conda ~/.llama/distributions/sambanova/sambanova-run.yaml \
--port $LLAMA_STACK_PORT \
--env SAMBANOVA_API_KEY=$SAMBANOVA_API_KEY