forked from phoenix-oss/llama-stack-mirror
# What does this PR do? The builtin implementation of code interpreter is not robust and has a really weak sandboxing shell (the `bubblewrap` container). Given the availability of better MCP code interpreter servers coming up, we should use them instead of baking an implementation into the Stack and expanding the vulnerability surface to the rest of the Stack. This PR only does the removal. We will add examples with how to integrate with MCPs in subsequent ones. ## Test Plan Existing tests.
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Groq Distribution
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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::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:8321
)GROQ_API_KEY
: Groq API Key (default: ``)
Models
The following models are available by default:
groq/llama3-8b-8192 (aliases: meta-llama/Llama-3.1-8B-Instruct)
groq/llama-3.1-8b-instant
groq/llama3-70b-8192 (aliases: meta-llama/Llama-3-70B-Instruct)
groq/llama-3.3-70b-versatile (aliases: meta-llama/Llama-3.3-70B-Instruct)
groq/llama-3.2-3b-preview (aliases: meta-llama/Llama-3.2-3B-Instruct)
groq/llama-4-scout-17b-16e-instruct (aliases: meta-llama/Llama-4-Scout-17B-16E-Instruct)
groq/meta-llama/llama-4-scout-17b-16e-instruct (aliases: meta-llama/Llama-4-Scout-17B-16E-Instruct)
groq/llama-4-maverick-17b-128e-instruct (aliases: meta-llama/Llama-4-Maverick-17B-128E-Instruct)
groq/meta-llama/llama-4-maverick-17b-128e-instruct (aliases: meta-llama/Llama-4-Maverick-17B-128E-Instruct)
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=8321
docker run \
-it \
--pull always \
-p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
llamastack/distribution-groq \
--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