llama-stack/llama_toolchain/core/build_container.sh

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#!/bin/bash
LLAMA_MODELS_DIR=${LLAMA_MODELS_DIR:-}
LLAMA_TOOLCHAIN_DIR=${LLAMA_TOOLCHAIN_DIR:-}
TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
if [ "$#" -ne 4 ]; then
echo "Usage: $0 <distribution_type> <build_name> <docker_base> <pip_dependencies>
echo "Example: $0 distribution_type my-fastapi-app python:3.9-slim 'fastapi uvicorn'
exit 1
fi
distribution_type=$1
build_name="$2"
image_name="llamastack-$build_name"
docker_base=$3
pip_dependencies=$4
# Define color codes
RED='\033[0;31m'
GREEN='\033[0;32m'
NC='\033[0m' # No Color
set -euo pipefail
SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
REPO_DIR=$(dirname $(dirname "$SCRIPT_DIR"))
TEMP_DIR=$(mktemp -d)
add_to_docker() {
local input
output_file="$TEMP_DIR/Dockerfile"
if [ -t 0 ]; then
printf '%s\n' "$1" >>"$output_file"
else
# If stdin is not a terminal, read from it (heredoc)
cat >>"$output_file"
fi
}
add_to_docker <<EOF
FROM $docker_base
WORKDIR /app
RUN apt-get update && apt-get install -y \
iputils-ping net-tools iproute2 dnsutils telnet \
curl wget telnet \
procps psmisc lsof \
traceroute \
bubblewrap \
&& rm -rf /var/lib/apt/lists/*
EOF
toolchain_mount="/app/llama-toolchain-source"
models_mount="/app/llama-models-source"
if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
echo "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}" >&2
exit 1
fi
add_to_docker "RUN pip install $toolchain_mount"
else
add_to_docker "RUN pip install llama-toolchain"
fi
if [ -n "$LLAMA_MODELS_DIR" ]; then
if [ ! -d "$LLAMA_MODELS_DIR" ]; then
echo "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}" >&2
exit 1
fi
add_to_docker <<EOF
RUN pip uninstall -y llama-models
RUN pip install $models_mount
EOF
fi
if [ -n "$pip_dependencies" ]; then
add_to_docker "RUN pip install $pip_dependencies"
fi
add_to_docker <<EOF
# This would be good in production but for debugging flexibility lets not add it right now
# We need a more solid production ready entrypoint.sh anyway
#
# ENTRYPOINT ["python", "-m", "llama_toolchain.core.server"]
EOF
printf "Dockerfile created successfully in $TEMP_DIR/Dockerfile"
cat $TEMP_DIR/Dockerfile
printf "\n"
mounts=""
if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
mounts="$mounts -v $(readlink -f $LLAMA_TOOLCHAIN_DIR):$toolchain_mount"
fi
if [ -n "$LLAMA_MODELS_DIR" ]; then
mounts="$mounts -v $(readlink -f $LLAMA_MODELS_DIR):$models_mount"
fi
set -x
podman build -t $image_name -f "$TEMP_DIR/Dockerfile" "$REPO_DIR" $mounts
set +x
printf "${GREEN}Succesfully setup Podman image. Configuring build...${NC}"
echo "You can run it with: podman run -p 8000:8000 $image_name"
$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama stack configure $distribution_type --name "$build_name" --type container