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>`
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Vladislav Bronzov 2025-02-25 23:16:56 +01:00 committed by GitHub
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<!-- This file was auto-generated by distro_codegen.py, please edit source -->
# Groq Distribution
```{toctree}
:maxdepth: 2
:hidden:
self
```
The `llamastack/distribution-groq` distribution consists of the following provider configurations.
| API | Provider(s) |
|-----|-------------|
| agents | `inline::meta-reference` |
| datasetio | `remote::huggingface`, `inline::localfs` |
| eval | `inline::meta-reference` |
| inference | `remote::groq` |
| safety | `inline::llama-guard` |
| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
| telemetry | `inline::meta-reference` |
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime` |
| vector_io | `inline::faiss` |
### Environment Variables
The following environment variables can be configured:
- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
- `GROQ_API_KEY`: Groq API Key (default: ``)
### Models
The following models are available by default:
- `meta-llama/Llama-3.1-8B-Instruct (llama3-8b-8192)`
- `meta-llama/Llama-3.1-8B-Instruct (llama-3.1-8b-instant)`
- `meta-llama/Llama-3-70B-Instruct (llama3-70b-8192)`
- `meta-llama/Llama-3.3-70B-Instruct (llama-3.3-70b-versatile)`
- `meta-llama/Llama-3.2-3B-Instruct (llama-3.2-3b-preview)`
### Prerequisite: API Keys
Make sure you have access to a Groq API Key. You can get one by visiting [Groq](https://api.groq.com/).
## 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.
```bash
LLAMA_STACK_PORT=5001
docker run \
-it \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
llamastack/distribution-groq \
--port $LLAMA_STACK_PORT \
--env GROQ_API_KEY=$GROQ_API_KEY
```
### Via Conda
```bash
llama stack build --template groq --image-type conda
llama stack run ./run.yaml \
--port $LLAMA_STACK_PORT \
--env GROQ_API_KEY=$GROQ_API_KEY
```