forked from phoenix-oss/llama-stack-mirror

Vladislav Bronzov 967cff4533

feat: Add Groq distribution template (#1173 )

# What does this PR do?

Create a distribution template using Groq as inference provider.
Link to issue: https://github.com/meta-llama/llama-stack/issues/958


## Test Plan
Run `python llama_stack/scripts/distro_codegen.py` to generate run.yaml
and build.yaml
Test the newly created template by running
`llama stack build --template <template-name>`
`llama stack run <template-name>`

2025-02-25 14:16:56 -08:00

1.4 KiB

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Groq Distribution

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self

The llamastack/distribution-{{ name }} distribution consists of the following provider configurations.

{% 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.provider_model_id }}) {% endfor %} {% endif %}

Prerequisite: API Keys

Make sure you have access to a Groq API Key. You can get one by visiting Groq.

Running Llama Stack with Groq

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.

LLAMA_STACK_PORT=5001
docker run \
  -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  llamastack/distribution-{{ name }} \
  --port $LLAMA_STACK_PORT \
  --env GROQ_API_KEY=$GROQ_API_KEY

Via Conda

llama stack build --template groq --image-type conda
llama stack run ./run.yaml \
  --port $LLAMA_STACK_PORT \
  --env GROQ_API_KEY=$GROQ_API_KEY

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