llama-stack/docs/source/distributions/remote_hosted_distro/watsonx.md
Ashwin Bharambe 272d3359ee
fix: remove code interpeter implementation (#2087)
# 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.
2025-05-01 14:35:08 -07:00

2.9 KiB

orphan
true

watsonx Distribution

:maxdepth: 2
:hidden:

self

The llamastack/distribution-watsonx 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::watsonx
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, remote::model-context-protocol
vector_io inline::faiss

Environment Variables

The following environment variables can be configured:

  • LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 5001)
  • WATSONX_API_KEY: watsonx API Key (default: ``)
  • WATSONX_PROJECT_ID: watsonx Project ID (default: ``)

Models

The following models are available by default:

  • meta-llama/llama-3-3-70b-instruct (aliases: meta-llama/Llama-3.3-70B-Instruct)
  • meta-llama/llama-2-13b-chat (aliases: meta-llama/Llama-2-13b)
  • meta-llama/llama-3-1-70b-instruct (aliases: meta-llama/Llama-3.1-70B-Instruct)
  • meta-llama/llama-3-1-8b-instruct (aliases: meta-llama/Llama-3.1-8B-Instruct)
  • meta-llama/llama-3-2-11b-vision-instruct (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct)
  • meta-llama/llama-3-2-1b-instruct (aliases: meta-llama/Llama-3.2-1B-Instruct)
  • meta-llama/llama-3-2-3b-instruct (aliases: meta-llama/Llama-3.2-3B-Instruct)
  • meta-llama/llama-3-2-90b-vision-instruct (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct)
  • meta-llama/llama-guard-3-11b-vision (aliases: meta-llama/Llama-Guard-3-11B-Vision)

Prerequisite: API Keys

Make sure you have access to a watsonx API Key. You can get one by referring watsonx.ai.

Running Llama Stack with watsonx

You can do this via Conda (build code), venv 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 \
  -v ./run.yaml:/root/my-run.yaml \
  llamastack/distribution-watsonx \
  --yaml-config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT \
  --env WATSONX_API_KEY=$WATSONX_API_KEY \
  --env WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID \
  --env WATSONX_BASE_URL=$WATSONX_BASE_URL

Via Conda

llama stack build --template watsonx --image-type conda
llama stack run ./run.yaml \
  --port $LLAMA_STACK_PORT \
  --env WATSONX_API_KEY=$WATSONX_API_KEY \
  --env WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID