feat: bump lls to v0.3.0.

Closes https://issues.redhat.com/browse/RHAIENG-1600

Signed-off-by: Mustafa Elbehery <melbeher@redhat.com

Author: Elbehery

.pre-commit-config.yaml

@@ -56,7 +56,7 @@ repos:
         always_run: true
         files: ^distribution/.*$
         additional_dependencies:
-          - llama-stack==0.2.23
+          - llama-stack==0.3.0
 
       - id: doc-gen
         name: Distribution Documentation

distribution/Containerfile

@@ -11,52 +11,7 @@ RUN pip install --upgrade \
     'aiobotocore==2.16.1' \
     'ibm-cos-sdk-core==2.14.2' \
     'ibm-cos-sdk==2.14.2'
-RUN pip install \
-    'datasets>=4.0.0' \
-    'mcp>=1.8.1' \
-    'pymilvus[milvus-lite]>=2.4.10' \
-    aiosqlite \
-    asyncpg \
-    autoevals \
-    boto3 \
-    chardet \
-    faiss-cpu \
-    fastapi \
-    fire \
-    google-cloud-aiplatform \
-    httpx \
-    ibm_watsonx_ai \
-    litellm \
-    matplotlib \
-    nltk \
-    numpy \
-    opentelemetry-exporter-otlp-proto-http \
-    opentelemetry-sdk \
-    pandas \
-    pillow \
-    psycopg2-binary \
-    pymongo \
-    pypdf \
-    redis \
-    requests \
-    scikit-learn \
-    scipy \
-    sentencepiece \
-    sqlalchemy[asyncio] \
-    tqdm \
-    transformers \
-    uvicorn
-RUN pip install \
-    llama_stack_provider_lmeval==0.3.1
-RUN pip install \
-    llama_stack_provider_ragas==0.4.1
-RUN pip install \
-    llama_stack_provider_ragas[remote]==0.4.1
-RUN pip install \
-    llama_stack_provider_trustyai_fms==0.2.3
-RUN pip install 'torchao>=0.12.0' --extra-index-url https://download.pytorch.org/whl/cpu torch torchvision
-RUN pip install --no-deps sentence-transformers
-RUN pip install --no-cache llama-stack==0.2.23
+RUN pip install --no-cache llama-stack==0.3.0
 RUN mkdir -p ${HOME}/.llama ${HOME}/.cache
 COPY distribution/run.yaml ${APP_ROOT}/run.yaml
 ENTRYPOINT ["llama", "stack", "run", "/opt/app-root/run.yaml"]

distribution/Containerfile.in

@@ -3,7 +3,7 @@ WORKDIR /opt/app-root
 
 RUN pip install sqlalchemy # somehow sqlalchemy[asyncio] is not sufficient
 {dependencies}
-RUN pip install --no-cache llama-stack==0.2.23
+RUN pip install --no-cache llama-stack==0.3.0
 {llama_stack_install_source}
 RUN mkdir -p ${{HOME}}/.llama ${{HOME}}/.cache
 COPY distribution/run.yaml ${{APP_ROOT}}/run.yaml

distribution/README.md

@@ -4,7 +4,7 @@
 
 This image contains the official Open Data Hub Llama Stack distribution, with all the packages and configuration needed to run a Llama Stack server in a containerized environment.
 
-The image is currently shipping with upstream Llama Stack version [0.2.23](https://github.com/llamastack/llama-stack/releases/tag/v0.2.23)
+The image is currently shipping with upstream Llama Stack version [0.3.0](https://github.com/llamastack/llama-stack/releases/tag/v0.3.0)
 
 You can see an overview of the APIs and Providers the image ships with in the table below.
 

distribution/build.py

@@ -13,7 +13,7 @@
 import os
 from pathlib import Path
 
-CURRENT_LLAMA_STACK_VERSION = "0.2.23"
+CURRENT_LLAMA_STACK_VERSION = "0.3.0"
 LLAMA_STACK_VERSION = os.getenv("LLAMA_STACK_VERSION", CURRENT_LLAMA_STACK_VERSION)
 BASE_REQUIREMENTS = [
     f"llama-stack=={LLAMA_STACK_VERSION}",
@@ -93,7 +93,7 @@ def check_llama_stack_version():
 
 def get_dependencies():
     """Execute the llama stack build command and capture dependencies."""
-    cmd = "llama stack build --config distribution/build.yaml --print-deps-only"
+    cmd = "llama stack list-deps distribution/build.yaml"
     try:
         result = subprocess.run(
             cmd, shell=True, capture_output=True, text=True, check=True

distribution/build.yaml

@@ -33,8 +33,6 @@ distribution_spec:
     - provider_type: inline::basic
     - provider_type: inline::llm-as-judge
     - provider_type: inline::braintrust
-    telemetry:
-    - provider_type: inline::meta-reference
     tool_runtime:
     - provider_type: remote::brave-search
     - provider_type: remote::tavily-search