build.sh

#!/usr/bin/env bash
# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

if [ "${BASH_VERSINFO[0]}" -lt 4 ]; then
    echo "Error: Bash version 4.0 or higher is required. Current version: ${BASH_VERSINFO[0]}.${BASH_VERSINFO[1]}"
    exit 1
fi

set -e

TAG=
PRIMARY_TAG=
RUN_PREFIX=
PLATFORM=linux/amd64

# Get short commit hash
commit_id=${commit_id:-$(git rev-parse --short HEAD)}

# if COMMIT_ID matches a TAG use that
current_tag=${current_tag:-$(git describe --tags --exact-match 2>/dev/null | sed 's/^v//' || true)}

# Get latest version from release branches or tags
# Strategy:
# 1. Check for release/X.Y.Z branches (most reliable for development)
# 2. Fall back to git tags, excluding test-rc tags
# 3. Default to 0.0.1 if nothing found

# Try to find the latest release branch first
latest_release_branch=$(git branch -r 2>/dev/null | grep -E 'origin/release/[0-9]+\.[0-9]+\.[0-9]+$' | sed 's|.*/||' | sort -V | tail -1 || true)

if [[ -n ${latest_release_branch} ]]; then
    latest_tag=${latest_tag:-$latest_release_branch}
    echo "INFO: Using version from latest release branch: ${latest_tag}"
else
    # Fall back to tags, excluding test-rc tags
    latest_tag=${latest_tag:-$(git tag -l 'v*' --sort=-version:refname | grep -v 'test-rc' | head -1 | sed 's/^v//' || true)}
fi

if [[ -z ${latest_tag} ]]; then
    latest_tag="0.0.1"
    echo "No git release tag or branch found, setting to unknown version: ${latest_tag}"
fi

# Use tag if available, otherwise use latest_tag.dev.commit_id
VERSION=v${current_tag:-$latest_tag.dev.$commit_id}

PYTHON_PACKAGE_VERSION=${current_tag:-$latest_tag.dev+$commit_id}

# Frameworks
#
# Each framework has a corresponding base image.  Additional
# dependencies are specified in the /container/deps folder and
# installed within framework specific sections of the Dockerfile.

declare -A FRAMEWORKS=(["VLLM"]=1 ["TRTLLM"]=2 ["NONE"]=3 ["SGLANG"]=4)

DEFAULT_FRAMEWORK=VLLM

SOURCE_DIR=$(dirname "$(readlink -f "$0")")
DOCKERFILE=${SOURCE_DIR}/Dockerfile
BUILD_CONTEXT=$(dirname "$(readlink -f "$SOURCE_DIR")")

# Base Images
TRTLLM_BASE_IMAGE=nvcr.io/nvidia/pytorch
TRTLLM_BASE_IMAGE_TAG=25.12-py3

# Important Note: Because of ABI compatibility issues between TensorRT-LLM and NGC PyTorch,
# we need to build the TensorRT-LLM wheel from source.
#
# There are two ways to build the dynamo image with TensorRT-LLM.
# 1. Use the local TensorRT-LLM wheel directory.
# 2. Use the TensorRT-LLM wheel on artifactory.
#
# If using option 1, the TENSORRTLLM_PIP_WHEEL_DIR must be a path to a directory
# containing TensorRT-LLM wheel file along with commit.txt file with the
# <arch>_<commit ID> as contents. If no valid trtllm wheel is found, the script
# will attempt to build the wheel from source and store the built wheel in the
# specified directory. TRTLLM_COMMIT from the TensorRT-LLM main branch will be
# used to build the wheel.
#
# If using option 2, the TENSORRTLLM_PIP_WHEEL must be the TensorRT-LLM wheel
# package that will be installed from the specified TensorRT-LLM PyPI Index URL.
# This option will ignore the TRTLLM_COMMIT option. As the TensorRT-LLM wheel from PyPI
# is not ABI compatible with NGC PyTorch, you can use TENSORRTLLM_INDEX_URL to specify
# a private PyPI index URL which has your pre-built TensorRT-LLM wheel.
#
# By default, we will use option 1. If you want to use option 2, you can set
# TENSORRTLLM_PIP_WHEEL to the TensorRT-LLM wheel on artifactory.
#
DEFAULT_TENSORRTLLM_PIP_WHEEL_DIR="/tmp/trtllm_wheel/"

# TensorRT-LLM commit to use for building the trtllm wheel if not provided.
# Important Note: This commit is not used in our CI pipeline. See the CI
# variables to learn how to run a pipeline with a specific commit.
DEFAULT_EXPERIMENTAL_TRTLLM_COMMIT="45d7022cc33903509fd8045bbc577d77dd1d3e2f" # 1.3.0rc1
TRTLLM_COMMIT=""
TRTLLM_USE_NIXL_KVCACHE_EXPERIMENTAL="0"
TRTLLM_GIT_URL=""

# TensorRT-LLM PyPI index URL
DEFAULT_TENSORRTLLM_INDEX_URL="https://pypi.nvidia.com/"
# TODO: Remove the version specification from here and use the ai-dynamo[trtllm] package.
# Need to update the Dockerfile.trtllm to use the ai-dynamo[trtllm] package.
DEFAULT_TENSORRTLLM_PIP_WHEEL="tensorrt-llm==1.3.0rc1"
# TensorRT-LLM wheels on PyPI might not be compatible with the NGC PyTorch.
# For incompatible versions, we install the wheel from the NGC image during the Docker build.
# The following versions are not ABI compatible with the NGC PyTorch.
TRTLLM_ABI_INCOMPATIBLE_VERSIONS=("1.3.0rc1")
TENSORRTLLM_PIP_WHEEL=""
TRTLLM_WHEEL_IMAGE=""

VLLM_BASE_IMAGE="nvcr.io/nvidia/cuda-dl-base"
# FIXME: OPS-612 NCCL will hang with 25.03, so use 25.01 for now
# Please check https://github.com/ai-dynamo/dynamo/pull/1065
# for details and reproducer to manually test if the image
# can be updated to later versions.
VLLM_BASE_IMAGE_TAG="25.06-cuda12.9-devel-ubuntu24.04"
VLLM_BASE_IMAGE_TAG_CU13="25.11-cuda13.0-devel-ubuntu24.04"
VLLM_RUNTIME_IMAGE="nvcr.io/nvidia/cuda"
VLLM_RUNTIME_IMAGE_TAG="12.9.1-runtime-ubuntu24.04"
VLLM_RUNTIME_IMAGE_TAG_CU13="13.0.2-runtime-ubuntu24.04"

NONE_BASE_IMAGE="nvcr.io/nvidia/cuda-dl-base"
NONE_BASE_IMAGE_TAG="25.01-cuda12.8-devel-ubuntu24.04"


SGLANG_BASE_IMAGE="nvcr.io/nvidia/cuda-dl-base"
SGLANG_BASE_IMAGE_TAG="25.06-cuda12.9-devel-ubuntu24.04"
SGLANG_BASE_IMAGE_TAG_CU13="25.11-cuda13.0-devel-ubuntu24.04"
SGLANG_CUDA_VERSION="12.9.1"
SGLANG_CUDA_VERSION_CU13="13.0.1"
SGLANG_RUNTIME_IMAGE_TAG_CU13="v0.5.8-cu130-runtime"

PYTHON_VERSION="3.12"

NIXL_REF=0.9.0
NIXL_UCX_REF=1.20.0
NIXL_GDRCOPY_REF=v2.5.1
NIXL_LIBFABRIC_REF=v2.3.0

# AWS EFA installer version
EFA_VERSION=1.45.1

NO_CACHE=""
NO_LOAD=""
PUSH=""

# KVBM (KV Cache Block Manager) - default disabled, enabled automatically for VLLM/TRTLLM
# or can be explicitly enabled via --enable-kvbm flag
ENABLE_KVBM=false

# GPU Memory Service - default disabled, enabled automatically for VLLM/SGLANG
# or can be explicitly enabled via --enable-gpu-memory-service flag
ENABLE_GPU_MEMORY_SERVICE=false

# sccache configuration for S3
USE_SCCACHE=""
SCCACHE_BUCKET=""
SCCACHE_REGION=""

get_options() {
    while :; do
        case $1 in
        -h | -\? | --help)
            show_help
            exit
            ;;
        --platform)
            if [ "$2" ]; then
                PLATFORM=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --framework)
            if [ "$2" ]; then
                FRAMEWORK=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --cuda-version)
            if [ "$2" ]; then
                echo "INFO: Setting CUDA_VERSION to $2"
                CUDA_VERSION=$2
                BUILD_ARGS+=" --build-arg CUDA_VERSION=$2 "
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --nixl-ref)
            if [ "$2" ]; then
                NIXL_REF=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tensorrtllm-pip-wheel-dir)
            if [ "$2" ]; then
                TENSORRTLLM_PIP_WHEEL_DIR=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tensorrtllm-commit)
            if [ "$2" ]; then
                TRTLLM_COMMIT=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tensorrtllm-pip-wheel)
            if [ "$2" ]; then
                TENSORRTLLM_PIP_WHEEL=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tensorrtllm-index-url)
            if [ "$2" ]; then
                TENSORRTLLM_INDEX_URL=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tensorrtllm-git-url)
            if [ "$2" ]; then
                TRTLLM_GIT_URL=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --base-image)
            if [ "$2" ]; then
                BASE_IMAGE=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --base-image-tag)
            if [ "$2" ]; then
                BASE_IMAGE_TAG=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --target)
            if [ "$2" ]; then
                TARGET=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --uid)
            if [ "$2" ]; then
                CUSTOM_UID=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --gid)
            if [ "$2" ]; then
                CUSTOM_GID=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --build-arg)
            if [ "$2" ]; then
                BUILD_ARGS+="--build-arg $2 "
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --tag)
            if [ "$2" ]; then
                if [ -z "$TAG" ]; then
                    TAG="--tag $2"
                    PRIMARY_TAG="$2"
                else
                    TAG+=" --tag $2"
                fi
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --dry-run)
            RUN_PREFIX="echo"
            DRY_RUN="true"
            echo ""
            echo "=============================="
            echo "DRY RUN: COMMANDS PRINTED ONLY"
            echo "=============================="
            echo ""
            ;;
        --no-cache)
            NO_CACHE=" --no-cache"
            ;;
        --no-load)
            NO_LOAD=true
            ;;
        --push)
            PUSH=" --push"
            ;;
        --cache-from)
            if [ "$2" ]; then
                CACHE_FROM+="--cache-from $2 "
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --cache-to)
            if [ "$2" ]; then
                CACHE_TO+="--cache-to $2 "
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --build-context)
            if [ "$2" ]; then
                BUILD_CONTEXT_ARG="--build-context $2"
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --enable-kvbm)
            ENABLE_KVBM=true
            ;;
        --enable-gpu-memory-service)
            ENABLE_GPU_MEMORY_SERVICE=true
            ;;
        --enable-media-nixl)
            ENABLE_MEDIA_NIXL=true
            ;;
        --enable-media-ffmpeg)
            ENABLE_MEDIA_FFMPEG=true
            ;;
        --make-efa)
            MAKE_EFA=true
            ;;
        --use-sccache)
            USE_SCCACHE=true
            ;;
        --sccache-bucket)
            if [ "$2" ]; then
                SCCACHE_BUCKET=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --sccache-region)
            if [ "$2" ]; then
                SCCACHE_REGION=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --vllm-max-jobs)
            # Set MAX_JOBS for vLLM compilation (only used by Dockerfile.vllm)
            if [ "$2" ]; then
                MAX_JOBS=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --efa-version)
            if [ "$2" ]; then
                EFA_VERSION=$2
                shift
            else
                missing_requirement "$1"
            fi
            ;;
        --no-tag-latest)
            NO_TAG_LATEST=true
            ;;
         -?*)
            error 'ERROR: Unknown option: ' "$1"
            ;;
         ?*)
            error 'ERROR: Unknown option: ' "$1"
            ;;
        *)
            break
            ;;
        esac
        shift
    done

    # Validate that --uid and --gid are only used with local-dev target
    if [[ -n "${CUSTOM_UID:-}" || -n "${CUSTOM_GID:-}" ]]; then
        if [[ "${TARGET:-}" != "local-dev" && "${TARGET:-}" != "local-dev-aws" ]]; then
            error "ERROR: --uid and --gid can only be used with --target local-dev or --target local-dev-aws"
        fi
    fi

    if [ -z "$FRAMEWORK" ]; then
        FRAMEWORK=$DEFAULT_FRAMEWORK
    fi

    if [ -n "$FRAMEWORK" ]; then
        FRAMEWORK=${FRAMEWORK^^}

        if [[ -z "${FRAMEWORKS[$FRAMEWORK]}" ]]; then
            error 'ERROR: Unknown framework: ' "$FRAMEWORK"
        fi

        if [ -z "$BASE_IMAGE_TAG" ]; then
            BASE_IMAGE_TAG=${FRAMEWORK}_BASE_IMAGE_TAG
            BASE_IMAGE_TAG=${!BASE_IMAGE_TAG}
            echo "INFO: Using default base image tag for $FRAMEWORK: $BASE_IMAGE_TAG"
        fi

        if [ -z "$BASE_IMAGE" ]; then
            BASE_IMAGE=${FRAMEWORK}_BASE_IMAGE
            BASE_IMAGE=${!BASE_IMAGE}
        fi

        if [[ $FRAMEWORK == "VLLM" ]] && [[ $CUDA_VERSION == "13."* ]]; then
            BASE_IMAGE_TAG=$VLLM_BASE_IMAGE_TAG_CU13
            BUILD_ARGS+=" --build-arg BASE_IMAGE_TAG=${VLLM_BASE_IMAGE_TAG_CU13} "
            RUNTIME_IMAGE_TAG=$VLLM_RUNTIME_IMAGE_TAG_CU13
            BUILD_ARGS+=" --build-arg RUNTIME_IMAGE_TAG=${VLLM_RUNTIME_IMAGE_TAG_CU13} "
            echo "INFO: Overriding base image tag for vLLM with CUDA 13: $BASE_IMAGE_TAG AND RUNTIME_IMAGE_TAG: $RUNTIME_IMAGE_TAG"
        fi


        if [[ $FRAMEWORK == "SGLANG" ]] && [[ $CUDA_VERSION == "13."* ]]; then
            BASE_IMAGE_TAG=$SGLANG_BASE_IMAGE_TAG_CU13
            BUILD_ARGS+=" --build-arg BASE_IMAGE_TAG=${SGLANG_BASE_IMAGE_TAG_CU13} "
            SGLANG_CUDA_VERSION="${SGLANG_CUDA_VERSION_CU13}"
            RUNTIME_IMAGE_TAG="${SGLANG_RUNTIME_IMAGE_TAG_CU13}"
            BUILD_ARGS+=" --build-arg RUNTIME_IMAGE_TAG=${RUNTIME_IMAGE_TAG} "
            echo "INFO: Overriding base image tag for SGLang with CUDA 13: $BASE_IMAGE_TAG AND RUNTIME_IMAGE_TAG: $RUNTIME_IMAGE_TAG"
        fi


        if [ -z "$BASE_IMAGE" ]; then
            error "ERROR: Framework $FRAMEWORK without BASE_IMAGE"
        fi

        BASE_VERSION=${FRAMEWORK}_BASE_VERSION
        BASE_VERSION=${!BASE_VERSION}

    fi

    if [ -z "$TAG" ]; then
        TAG="--tag dynamo:${VERSION}-${FRAMEWORK,,}"
        PRIMARY_TAG="dynamo:${VERSION}-${FRAMEWORK,,}"
        if [ -n "${TARGET}" ] && [ "${TARGET}" != "local-dev" ]; then
            TAG="${TAG}-${TARGET}"
            PRIMARY_TAG="${PRIMARY_TAG}-${TARGET}"
        fi
    fi

    if [ -n "$PLATFORM" ]; then
        PLATFORM="--platform ${PLATFORM}"
    fi

    if [ -n "$TARGET" ]; then
        TARGET_STR="--target ${TARGET}"
    else
        TARGET_STR="--target dev"
    fi

    # Validate sccache configuration
    if [ "$USE_SCCACHE" = true ]; then
        if [ -z "$SCCACHE_BUCKET" ]; then
            error "ERROR: --sccache-bucket is required when --use-sccache is specified"
        fi
        if [ -z "$SCCACHE_REGION" ]; then
            error "ERROR: --sccache-region is required when --use-sccache is specified"
        fi
    fi
}


show_image_options() {
    echo ""
    echo "Building Dynamo Image: '${TAG}'"
    echo ""
    echo "   Base: '${BASE_IMAGE}'"
    echo "   Base_Image_Tag: '${BASE_IMAGE_TAG}'"
    if [[ $FRAMEWORK == "TRTLLM" ]]; then
        echo "   Tensorrtllm_Pip_Wheel: '${PRINT_TRTLLM_WHEEL_FILE}'"
    fi
    echo "   Build Context: '${BUILD_CONTEXT}'"
    echo "   Build Arguments: '${BUILD_ARGS}'"
    echo "   Framework: '${FRAMEWORK}'"
    if [ "$USE_SCCACHE" = true ]; then
        echo "   sccache: Enabled"
        echo "   sccache Bucket: '${SCCACHE_BUCKET}'"
        echo "   sccache Region: '${SCCACHE_REGION}'"

        if [ -n "$SCCACHE_S3_KEY_PREFIX" ]; then
            echo "   sccache S3 Key Prefix: '${SCCACHE_S3_KEY_PREFIX}'"
        fi
    fi
    echo ""
}

show_help() {
    echo "usage: build.sh"
    echo "  [--base-image base image]"
    echo "  [--base-image-tag base image tag]"
    echo "  [--platform platform for docker build]"
    echo "  [--framework framework one of ${!FRAMEWORKS[*]}]"
    echo "  [--tensorrtllm-pip-wheel-dir path to tensorrtllm pip wheel directory]"
    echo "  [--tensorrtllm-commit tensorrtllm commit/tag/branch to use for building the trtllm wheel if the wheel is not provided]"
    echo "  [--tensorrtllm-pip-wheel tensorrtllm pip wheel on artifactory]"
    echo "  [--tensorrtllm-index-url tensorrtllm PyPI index URL if providing the wheel from artifactory]"
    echo "  [--tensorrtllm-git-url tensorrtllm git repository URL for cloning]"
    echo "  [--build-arg additional build args to pass to docker build]"
    echo "  [--cache-from cache location to start from]"
    echo "  [--cache-to location where to cache the build output]"
    echo "  [--tag tag for image (can be specified multiple times)]"
    echo "  [--uid user ID for local-dev images (only with --target local-dev)]"
    echo "  [--gid group ID for local-dev images (only with --target local-dev)]"
    echo "  [--no-cache disable docker build cache]"
    echo "  [--no-load do not load the image into docker (disables default --load)]"
    echo "  [--push push the image to the registry]"
    echo "  [--dry-run print docker commands without running]"
    echo "  [--build-context name=path to add build context]"
    echo "  [--release-build perform a release build]"
    echo "  [--make-efa Adds AWS EFA layer on top of the built image (works with any target)]"
    echo "  [--enable-kvbm Enables KVBM support in Python 3.12]"
    echo "  [--enable-gpu-memory-service Enables GPU Memory Service support]"
    echo "  [--enable-media-nixl Enable media processing with NIXL support (default: true for frameworks, false for none)]"
    echo "  [--enable-media-ffmpeg Enable media processing with FFMPEG support (default: true for frameworks, false for none)]"
    echo "  [--use-sccache enable sccache for Rust/C/C++ compilation caching]"
    echo "  [--sccache-bucket S3 bucket name for sccache (required with --use-sccache)]"
    echo "  [--sccache-region S3 region for sccache (required with --use-sccache)]"
    echo "  [--vllm-max-jobs number of parallel jobs for compilation (only used by vLLM framework)]"
    echo "  [--efa-version AWS EFA installer version (default: 1.45.1)]"
    echo "  [--no-tag-latest do not add latest-{framework} tag to built image]"
    echo ""
    echo "  Note: When using --use-sccache, AWS credentials must be set:"
    echo "        export AWS_ACCESS_KEY_ID=your_access_key"
    echo "        export AWS_SECRET_ACCESS_KEY=your_secret_key"
    exit 0
}

missing_requirement() {
    error "ERROR: $1 requires an argument."
}

error() {
    printf '%s %s\n' "$1" "$2" >&2
    exit 1
}

get_options "$@"

# Automatically set ARCH and ARCH_ALT if PLATFORM is linux/arm64
ARCH="amd64"
if [[ "$PLATFORM" == *"linux/arm64"* ]]; then
    ARCH="arm64"
    BUILD_ARGS+=" --build-arg ARCH=arm64 --build-arg ARCH_ALT=aarch64 "
fi

# Set the commit sha in the container so we can inspect what build this relates to
DYNAMO_COMMIT_SHA=${DYNAMO_COMMIT_SHA:-$(git rev-parse HEAD)}
BUILD_ARGS+=" --build-arg DYNAMO_COMMIT_SHA=$DYNAMO_COMMIT_SHA "

# Update DOCKERFILE if framework is VLLM
if [[ $FRAMEWORK == "VLLM" ]]; then
    DOCKERFILE=${SOURCE_DIR}/Dockerfile.vllm
elif [[ $FRAMEWORK == "TRTLLM" ]]; then
    DOCKERFILE=${SOURCE_DIR}/Dockerfile.trtllm
elif [[ $FRAMEWORK == "NONE" ]]; then
    DOCKERFILE=${SOURCE_DIR}/Dockerfile
elif [[ $FRAMEWORK == "SGLANG" ]]; then
    DOCKERFILE=${SOURCE_DIR}/Dockerfile.sglang
fi

# Add NIXL_REF as a build argument
BUILD_ARGS+=" --build-arg NIXL_REF=${NIXL_REF} "
# Add NIXL_LIBFABRIC_REF as a build argument
BUILD_ARGS+=" --build-arg NIXL_LIBFABRIC_REF=${NIXL_LIBFABRIC_REF} "
# Add EFA_VERSION as a build argument
BUILD_ARGS+=" --build-arg EFA_VERSION=${EFA_VERSION} "

# Function to build AWS EFA images from base runtime or dev images
build_aws_with_header() {
    local base_image="$1"
    local tags="$2"
    local aws_target="$3"  # runtime-aws or dev-aws
    local success_msg="$4"

    DOCKERFILE_AWS="${SOURCE_DIR}/Dockerfile.aws"

    if [[ ! -f "$DOCKERFILE_AWS" ]]; then
        echo "ERROR: Dockerfile.aws not found at: $DOCKERFILE_AWS"
        exit 1
    fi

    echo ""
    echo "Building AWS EFA image from base: $base_image"
    echo "Target stage: $aws_target"

    # Show the docker command being executed if not in dry-run mode
    if [ -z "$RUN_PREFIX" ]; then
        set -x
    fi

    $RUN_PREFIX docker build --progress=plain \
        --build-arg BASE_IMAGE="$base_image" \
        --build-arg EFA_VERSION="${EFA_VERSION}" \
        --target "$aws_target" \
        --file "$DOCKERFILE_AWS" \
        $PLATFORM \
        $tags \
        "$SOURCE_DIR" || {
        { set +x; } 2>/dev/null
        echo "ERROR: Failed to build AWS EFA image"
        exit 1
    }

    { set +x; } 2>/dev/null
    echo "$success_msg"
}


BUILD_ARGS+=" --build-arg BASE_IMAGE=$BASE_IMAGE --build-arg BASE_IMAGE_TAG=$BASE_IMAGE_TAG"

if [ -n "${GITHUB_TOKEN}" ]; then
    BUILD_ARGS+=" --build-arg GITHUB_TOKEN=${GITHUB_TOKEN} "
fi

if [ -n "${GITLAB_TOKEN}" ]; then
    BUILD_ARGS+=" --build-arg GITLAB_TOKEN=${GITLAB_TOKEN} "
fi


check_wheel_file() {
    local wheel_dir="$1"
    # Check if directory exists
    if [ ! -d "$wheel_dir" ]; then
        echo "Error: Directory '$wheel_dir' does not exist"
        return 1
    fi

    # Look for .whl files
    wheel_count=$(find "$wheel_dir" -name "*.whl" | wc -l)

    if [ "$wheel_count" -eq 0 ]; then
        echo "WARN: No .whl files found in '$wheel_dir'"
        return 1
    elif [ "$wheel_count" -gt 1 ]; then
        echo "Warning: Multiple wheel files found in '$wheel_dir'. Will use first one found."
        find "$wheel_dir" -name "*.whl" | head -n 1
        return 0
    fi
    echo "Found $wheel_count wheel in $wheel_dir"
    return 0
}

get_trtllm_version_from_pip_wheel() {
    local wheel_spec="$1"
    if [[ "$wheel_spec" =~ == ]]; then
        local version
        version=$(echo "$wheel_spec" | sed -n 's/.*==\([0-9a-zA-Z\.\-]*\).*/\1/p')
        if _is_semver_ref "$version"; then
            echo "${version#v}"
            return 0
        fi
    fi
    echo ""
    return 0
}

trtllm_version_incompatible() {
    local version="$1"
    for incompatible_version in "${TRTLLM_ABI_INCOMPATIBLE_VERSIONS[@]}"; do
        if [[ "$version" == "$incompatible_version" ]]; then
            return 0
        fi
    done
    return 1
}

_is_semver_ref() {
    local ref="$1"
    local semver_regex='^v?(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)([-+][0-9A-Za-z.-]+|[A-Za-z][0-9A-Za-z.-]+)?$'
    [[ "$ref" =~ $semver_regex ]]
}

get_github_trtllm_ref() {
    local commit="$1"
    if _is_semver_ref "$commit"; then
        if [[ "$commit" =~ ^v ]]; then
            echo "$commit"
        else
            echo "v${commit}"
        fi
        return 0
    fi
    echo "$commit"
    return 0
}

function determine_user_intention_trtllm() {
    # The tensorrt llm installation flags are not quite mutually exclusive
    # since the user should be able to point at a directory of their choosing
    # for storing a trtllm wheel built from source.
    #
    # This function attempts to discern the intention of the user by
    # applying checks, or rules, for each of the scenarios.
    #
    # /return: Calculated intention. One of "download", "install", "build".
    #
    # The three different methods of installing TRTLLM with build.sh are:
    # 1. Download
    # required: --tensorrtllm-pip-wheel
    # optional: --tensorrtllm-index-url
    # optional: --tensorrtllm-commit
    #
    # 2. Install from pre-built
    # required: --tensorrtllm-pip-wheel-dir
    # optional: --tensorrtllm-commit
    #
    # 3. Build from source
    # required: --tensorrtllm-git-url
    # optional: --tensorrtllm-commit
    # optional: --tensorrtllm-pip-wheel-dir
    local intention_download="false"
    local intention_install="false"
    local intention_build="false"
    local intention_count=0
    TRTLLM_INTENTION=${TRTLLM_INTENTION}

    # Install from pre-built
    if [[ -n "$TENSORRTLLM_PIP_WHEEL_DIR"  && ! -n "$TRTLLM_GIT_URL" ]]; then
        intention_install="true";
        intention_count=$((intention_count+1))
        TRTLLM_INTENTION="install"
    fi
    echo "  Intent to Install TRTLLM: $intention_install"

    # Build from source
    if [[ -n "$TRTLLM_GIT_URL" ]]; then
        intention_build="true";
        intention_count=$((intention_count+1))
        TRTLLM_INTENTION="build"
    fi
    echo "  Intent to Build TRTLLM: $intention_build"

    # Download from repository
    if [[ -n "$TENSORRTLLM_INDEX_URL" ]] && [[ -n "$TENSORRTLLM_PIP_WHEEL" ]]; then
        intention_download="true";
        intention_count=$((intention_count+1));
        TRTLLM_INTENTION="download"
        echo "INFO: Installing $TENSORRTLLM_PIP_WHEEL trtllm version from index: $TENSORRTLLM_INDEX_URL"
    elif [[ -n "$TENSORRTLLM_PIP_WHEEL" ]]; then
        intention_download="true";
        intention_count=$((intention_count+1));
        TRTLLM_INTENTION="download"
        echo "INFO: Installing $TENSORRTLLM_PIP_WHEEL trtllm version from default pip index."
    fi

    # If nothing is set then we default to downloading the wheel
    # with the defaults sepcified at the top this file.
    if [[ -z "${TENSORRTLLM_INDEX_URL}" ]] && [[ -z "${TENSORRTLLM_PIP_WHEEL}" ]] && [[ "${intention_count}" -eq 0 ]]; then
        intention_download="true";
        intention_count=$((intention_count+1))
        TRTLLM_INTENTION="download"
        echo "INFO: Inferring download because both TENSORRTLLM_PIP_WHEEL and TENSORRTLLM_INDEX_URL are not set."
    fi
    echo "  Intent to Download TRTLLM: $intention_download"

    if [[ ! "$intention_count" -eq 1 ]]; then
        echo -e "[ERROR] Could not figure out the trtllm installation intent from the current flags. Please check your build.sh command against the following"
        echo -e "  The grouped flags are mutually exclusive:"
        echo -e "  To download and install use both: --tensorrtllm-index-url, --tensorrtllm-pip-wheel"
        echo -e "  To install from a pre-built wheel use: --tensorrtllm-pip-wheel-dir"
        echo -e "  To build from source and install use both: --tensorrtllm-commit, --tensorrtllm-git-url"
        exit 1
    fi
}


if [[ $FRAMEWORK == "TRTLLM" ]]; then
    echo -e "Determining the user's TRTLLM installation intent..."
    determine_user_intention_trtllm   # From this point forward, can assume correct TRTLLM flags

    if [[ "$TRTLLM_INTENTION" == "download" ]]; then
        TENSORRTLLM_INDEX_URL=${TENSORRTLLM_INDEX_URL:-$DEFAULT_TENSORRTLLM_INDEX_URL}
        TENSORRTLLM_PIP_WHEEL=${TENSORRTLLM_PIP_WHEEL:-$DEFAULT_TENSORRTLLM_PIP_WHEEL}
        TRTLLM_WHEEL_VERSION=$(get_trtllm_version_from_pip_wheel "${TENSORRTLLM_PIP_WHEEL}")
        if trtllm_version_incompatible "${TRTLLM_WHEEL_VERSION}"; then
            TRTLLM_WHEEL_IMAGE="nvcr.io/nvidia/tensorrt-llm/release:${TRTLLM_WHEEL_VERSION}"
            BUILD_ARGS+=" --build-arg HAS_TRTLLM_CONTEXT=0"
            BUILD_ARGS+=" --build-arg TRTLLM_WHEEL_IMAGE=${TRTLLM_WHEEL_IMAGE}"
            PRINT_TRTLLM_WHEEL_FILE=${TRTLLM_WHEEL_IMAGE}
        else
            BUILD_ARGS+=" --build-arg HAS_TRTLLM_CONTEXT=0"
            BUILD_ARGS+=" --build-arg TENSORRTLLM_PIP_WHEEL=${TENSORRTLLM_PIP_WHEEL}"
            BUILD_ARGS+=" --build-arg TENSORRTLLM_INDEX_URL=${TENSORRTLLM_INDEX_URL}"
            PRINT_TRTLLM_WHEEL_FILE=${TENSORRTLLM_PIP_WHEEL}
        fi
        # Create a dummy directory to satisfy the build context requirement
        # There is no way to conditionally copy the build context in dockerfile.
        mkdir -p /tmp/trtllm_wheel_context
        BUILD_CONTEXT_ARG+=" --build-context trtllm_wheel=/tmp/trtllm_wheel_context"
    elif [[ "$TRTLLM_INTENTION" == "install" ]]; then
        echo "Checking for TensorRT-LLM wheel in ${TENSORRTLLM_PIP_WHEEL_DIR}"
        if ! check_wheel_file "${TENSORRTLLM_PIP_WHEEL_DIR}"; then
            echo "ERROR: Valid trtllm wheel file not found in ${TENSORRTLLM_PIP_WHEEL_DIR}"
            echo "      If this is not intended you can try building from source with the following variables set instead:"
            echo ""
            echo "      --tensorrtllm-git-url https://github.com/NVIDIA/TensorRT-LLM --tensorrtllm-commit $TRTLLM_COMMIT"
            exit 1
        fi
        echo "Installing TensorRT-LLM from local wheel directory"
        BUILD_ARGS+=" --build-arg HAS_TRTLLM_CONTEXT=1"
        BUILD_CONTEXT_ARG+=" --build-context trtllm_wheel=${TENSORRTLLM_PIP_WHEEL_DIR}"
        PRINT_TRTLLM_WHEEL_FILE=$(find $TENSORRTLLM_PIP_WHEEL_DIR -name "*.whl" | head -n 1)
    elif [[ "$TRTLLM_INTENTION" == "build" ]]; then
        TENSORRTLLM_PIP_WHEEL_DIR=${TENSORRTLLM_PIP_WHEEL_DIR:=$DEFAULT_TENSORRTLLM_PIP_WHEEL_DIR}
        echo "TRTLLM pip wheel output directory is: ${TENSORRTLLM_PIP_WHEEL_DIR}"
        if [ "$DRY_RUN" != "true" ]; then
            GIT_URL_ARG=""
            if [ -n "${TRTLLM_GIT_URL}" ]; then
                GIT_URL_ARG="-u ${TRTLLM_GIT_URL}"
            fi
            if ! env -i ${SOURCE_DIR}/build_trtllm_wheel.sh -o ${TENSORRTLLM_PIP_WHEEL_DIR} -c ${TRTLLM_COMMIT} -a ${ARCH} -n ${NIXL_REF} ${GIT_URL_ARG}; then
                error "ERROR: Failed to build TensorRT-LLM wheel"
            fi
            BUILD_ARGS+=" --build-arg HAS_TRTLLM_CONTEXT=1"
            BUILD_CONTEXT_ARG+=" --build-context trtllm_wheel=${TENSORRTLLM_PIP_WHEEL_DIR}"
            PRINT_TRTLLM_WHEEL_FILE=$(find $TENSORRTLLM_PIP_WHEEL_DIR -name "*.whl" | head -n 1)
        fi
    else
        echo 'No intention was set. This error should have been detected in "determine_user_intention_trtllm()". Exiting...'
        exit 1
    fi

    # Need to know the commit of TRTLLM so we can determine the
    # TensorRT installation associated with TRTLLM.
    if [[ -z "$TRTLLM_COMMIT" ]]; then
        # Attempt to default since the commit will work with a hash or a tag/branch
        if [[ ! -z "$TENSORRTLLM_PIP_WHEEL" ]]; then
            TRTLLM_COMMIT=$(get_trtllm_version_from_pip_wheel "${TENSORRTLLM_PIP_WHEEL}")
            if [[ -z "$TRTLLM_COMMIT" ]]; then
                echo -e "[ERROR] Could not parse a semver version from TENSORRTLLM_PIP_WHEEL: ${TENSORRTLLM_PIP_WHEEL}"
                exit 1
            fi
            echo "Attempting to default TRTLLM_COMMIT to \"$TRTLLM_COMMIT\" for installation of TensorRT."
        else
            echo -e "[ERROR] TRTLLM framework was set as a target but the TRTLLM_COMMIT variable was not set."
            echo -e "  Could not find a suitible default by infering from TENSORRTLLM_PIP_WHEEL."
            echo -e "  TRTLLM_COMMIT is needed to install the correct version of TensorRT associated with TensorRT-LLM."
            exit 1
        fi
    fi
    GITHUB_TRTLLM_REF=$(get_github_trtllm_ref "${TRTLLM_COMMIT}")
    BUILD_ARGS+=" --build-arg GITHUB_TRTLLM_COMMIT=${GITHUB_TRTLLM_REF}"


fi

# ENABLE_KVBM: Used in base Dockerfile for block-manager feature.
#              Declared but not currently used in Dockerfile.{vllm,trtllm}.
# Force KVBM to be enabled for VLLM and TRTLLM frameworks
if [[ $FRAMEWORK == "VLLM" ]] || [[ $FRAMEWORK == "TRTLLM" ]]; then
    echo "Forcing enable_kvbm to true in ${FRAMEWORK} image build"
    ENABLE_KVBM=true
fi
# For other frameworks, ENABLE_KVBM defaults to false unless --enable-kvbm flag was provided

if [[ ${ENABLE_KVBM} == "true" ]]; then
    echo "Enabling KVBM in the dynamo image"
    BUILD_ARGS+=" --build-arg ENABLE_KVBM=${ENABLE_KVBM} "
fi

# ENABLE_GPU_MEMORY_SERVICE: Used in Dockerfiles for gpu_memory_service wheel.
#                            Declared but not currently used in Dockerfile.trtllm.
# Force GPU Memory Service to be enabled for VLLM and SGLANG frameworks
if [[ $FRAMEWORK == "VLLM" ]] || [[ $FRAMEWORK == "SGLANG" ]]; then
    echo "Forcing enable_gpu_memory_service to true in ${FRAMEWORK} image build"
    ENABLE_GPU_MEMORY_SERVICE=true
fi
# For other frameworks, ENABLE_GPU_MEMORY_SERVICE defaults to false unless --enable-gpu-memory-service flag was provided

if [[ ${ENABLE_GPU_MEMORY_SERVICE} == "true" ]]; then
    echo "Enabling GPU Memory Service in the dynamo image"
    BUILD_ARGS+=" --build-arg ENABLE_GPU_MEMORY_SERVICE=${ENABLE_GPU_MEMORY_SERVICE} "
fi

# ENABLE_MEDIA_NIXL: Enable media processing with NIXL support
# Used in base Dockerfile for maturin build feature flag.
# Can be explicitly overridden with --enable-media-nixl flag
if [ -z "${ENABLE_MEDIA_NIXL}" ]; then
    if [[ $FRAMEWORK == "VLLM" ]] || [[ $FRAMEWORK == "TRTLLM" ]] || [[ $FRAMEWORK == "SGLANG" ]]; then
        ENABLE_MEDIA_NIXL=true
    else
        ENABLE_MEDIA_NIXL=false
    fi
fi
BUILD_ARGS+=" --build-arg ENABLE_MEDIA_NIXL=${ENABLE_MEDIA_NIXL} "

# ENABLE_MEDIA_FFMPEG: Enable media processing with FFMPEG support
# Used in base Dockerfile for maturin build feature flag.
# Can be explicitly overridden with --enable-media-ffmpeg flag
if [ -z "${ENABLE_MEDIA_FFMPEG}" ]; then
    if [[ $FRAMEWORK == "VLLM" ]] || [[ $FRAMEWORK == "TRTLLM" ]] || [[ $FRAMEWORK == "SGLANG" ]]; then
        ENABLE_MEDIA_FFMPEG=true
    else
        ENABLE_MEDIA_FFMPEG=false
    fi
fi
BUILD_ARGS+=" --build-arg ENABLE_MEDIA_FFMPEG=${ENABLE_MEDIA_FFMPEG} "

# NIXL_UCX_REF: Used in base Dockerfile only.
if [ -n "${NIXL_UCX_REF}" ]; then
    BUILD_ARGS+=" --build-arg NIXL_UCX_REF=${NIXL_UCX_REF} "
fi

# NIXL_GDRCOPY_REF: Used in dynamo base stages.
if [ -n "${NIXL_GDRCOPY_REF}" ]; then
    BUILD_ARGS+=" --build-arg NIXL_GDRCOPY_REF=${NIXL_GDRCOPY_REF} "

fi

# MAX_JOBS is only used by Dockerfile.vllm
if [ -n "${MAX_JOBS}" ]; then
    BUILD_ARGS+=" --build-arg MAX_JOBS=${MAX_JOBS} "
fi

if [[ $FRAMEWORK == "SGLANG" ]]; then
    echo "Customizing Python, CUDA, and framework images for sglang images"
    BUILD_ARGS+=" --build-arg CUDA_VERSION=${SGLANG_CUDA_VERSION}"
fi

BUILD_ARGS+=" --build-arg PYTHON_VERSION=${PYTHON_VERSION}"

# Add sccache build arguments
if [ "$USE_SCCACHE" = true ]; then
    BUILD_ARGS+=" --build-arg USE_SCCACHE=true"
    BUILD_ARGS+=" --build-arg SCCACHE_BUCKET=${SCCACHE_BUCKET}"
    BUILD_ARGS+=" --build-arg SCCACHE_REGION=${SCCACHE_REGION}"
    BUILD_ARGS+=" --secret id=aws-key-id,env=AWS_ACCESS_KEY_ID"
    BUILD_ARGS+=" --secret id=aws-secret-id,env=AWS_SECRET_ACCESS_KEY"
fi
if [[ "$PLATFORM" == *"linux/arm64"* && "${FRAMEWORK}" == "SGLANG" ]]; then
    # Add arguments required for sglang blackwell build
    BUILD_ARGS+=" --build-arg GRACE_BLACKWELL=true --build-arg BUILD_TYPE=blackwell_aarch64"
fi

# Dev/local-dev targets: build from a concatenated Dockerfile:
#   <framework Dockerfile> + container/dev/Dockerfile.dev
if [[ -z "${TARGET:-}" || "${TARGET:-}" == "dev" || "${TARGET:-}" == "local-dev" ]]; then
    _gen_dev_dockerfile_temp() {
        local fw_df dev_df out
        fw_df="$1"
        dev_df="${SOURCE_DIR}/dev/Dockerfile.dev"
        if [[ ! -f "${fw_df}" ]]; then
            error "ERROR:" "Framework Dockerfile not found: ${fw_df}"
        fi
        if [[ ! -f "${dev_df}" ]]; then
            error "ERROR:" "Dev Dockerfile not found: ${dev_df}"
        fi

        out="$(mktemp -t dynamo-dev-combined.XXXXXX.Dockerfile)"
        cat "${fw_df}" "${dev_df}" > "${out}"
        printf '\n' >> "${out}"

        if [[ ! -s "${out}" ]]; then
            rm -f "${out}"
            error "ERROR:" "Temp Dockerfile was generated but is empty"
        fi
        printf '%s\n' "${out}"
    }

    DOCKERFILE="$(_gen_dev_dockerfile_temp "${DOCKERFILE}")"

    # Ensure we clean up the temp Dockerfile (opt-out with KEEP_DEV_DOCKERFILE_TEMP=1 for debugging).
    if [[ "${KEEP_DEV_DOCKERFILE_TEMP:-}" != "1" ]]; then
        trap 'rm -f "${DOCKERFILE}" 2>/dev/null || true' EXIT
    fi

    # Dockerfile.dev expects a lowercase framework string.
    BUILD_ARGS+=" --build-arg FRAMEWORK=${FRAMEWORK,,} "

    # Preserve historical tagging behavior for dev/local-dev (build.sh used to delegate out).
    base="${PRIMARY_TAG}"
    base="${base%-runtime}"
    base="${base%-local-dev}"
    base="${base%-dev}"
    if [[ -z "${TARGET:-}" || "${TARGET}" == "dev" ]]; then
        TAG="--tag ${base}-dev"
    else
        TAG="--tag ${base}-local-dev"
        # Default UID/GID behavior: current user if not specified.
        if [[ -z "${CUSTOM_UID:-}" ]]; then
            CUSTOM_UID="$(id -u)"
        fi
        if [[ -z "${CUSTOM_GID:-}" ]]; then
            CUSTOM_GID="$(id -g)"
        fi
        BUILD_ARGS+=" --build-arg USER_UID=${CUSTOM_UID} --build-arg USER_GID=${CUSTOM_GID} "
    fi
fi

LATEST_TAG=""
if [ -z "${NO_TAG_LATEST}" ]; then
    if [[ -z "${TARGET:-}" || "${TARGET}" == "dev" ]]; then
        LATEST_TAG="--tag dynamo:latest-${FRAMEWORK,,}"
    elif [[ "${TARGET}" == "local-dev" ]]; then
        LATEST_TAG="--tag dynamo:latest-${FRAMEWORK,,}-local-dev"
    else
        LATEST_TAG="--tag dynamo:latest-${FRAMEWORK,,}"
        if [ -n "${TARGET}" ] && [ "${TARGET}" != "local-dev" ]; then
            LATEST_TAG="${LATEST_TAG}-${TARGET}"
        fi
    fi
fi

show_image_options

# Handle FRONTEND target: build EPP image first
if [[ ${TARGET^^} == "FRONTEND" ]]; then
    echo "Building FRONTEND image - requires EPP image"
    echo ""
    echo "Building EPP image for Frontend using Makefile..."

    # EPP directory with the new self-contained build
    EPP_DIR="${BUILD_CONTEXT}/deploy/inference-gateway/epp"

    # Set DOCKER_PROXY from ECR_HOSTNAME if available (for pulling base images through proxy)
    # This prevents rate-limiting when building in CI across multiple PRs
    DOCKER_PROXY_ARG=""
    if [[ -n "${ECR_HOSTNAME}" ]]; then
        DOCKER_PROXY="${ECR_HOSTNAME}/dockerhub/"
        DOCKER_PROXY_ARG="DOCKER_PROXY=${DOCKER_PROXY}"
        echo "Using DOCKER_PROXY: ${DOCKER_PROXY}"
    fi

    # Build EPP image using the Makefile
    # The Makefile handles: building Dynamo library, building Docker image, loading it locally
    $RUN_PREFIX make -C "${EPP_DIR}" all DYNAMO_DIR="${BUILD_CONTEXT}" ${DOCKER_PROXY_ARG}

    # Compute EPP image tag (must match Makefile's IMAGE_TAG)
    # IMAGE_TAG = $(IMAGE_REPO):$(GIT_TAG)
    # IMAGE_REPO = $(DOCKER_SERVER)/$(IMAGE_NAME)
    # Image lives in local cache only, not pushed to any registry
    EPP_DOCKER_SERVER="dynamo"
    EPP_IMAGE_NAME="dynamo-epp"
    EPP_GIT_TAG=$(git describe --tags --dirty --always 2>/dev/null || echo "dev")
    EPP_IMAGE_TAG="${EPP_DOCKER_SERVER}/${EPP_IMAGE_NAME}:${EPP_GIT_TAG}"

    echo "Successfully built EPP image: ${EPP_IMAGE_TAG}"

    # Add build args for frontend image
    BUILD_ARGS+=" --build-arg EPP_IMAGE=${EPP_IMAGE_TAG}"
fi

# Always build the main image first
# Create build log directory for BuildKit reports
BUILD_LOG_DIR="${BUILD_CONTEXT}/build-logs"
mkdir -p "${BUILD_LOG_DIR}"
SINGLE_BUILD_LOG="${BUILD_LOG_DIR}/single-stage-build.log"

# Determine --load flag (default on unless --no-load or --push specified)
LOAD_FLAG=""
if [ "$NO_LOAD" != "true" ] && [ -z "$PUSH" ]; then
    LOAD_FLAG=" --load"
fi

# Use BuildKit for enhanced metadata
if docker buildx version &>/dev/null; then
    $RUN_PREFIX docker buildx build --progress=plain ${LOAD_FLAG} ${PUSH} -f $DOCKERFILE $TARGET_STR $PLATFORM $BUILD_ARGS $CACHE_FROM $CACHE_TO $TAG $LATEST_TAG $BUILD_CONTEXT_ARG $BUILD_CONTEXT $NO_CACHE 2>&1 | tee "${SINGLE_BUILD_LOG}"
    BUILD_EXIT_CODE=${PIPESTATUS[0]}
else
    $RUN_PREFIX DOCKER_BUILDKIT=1 docker build --progress=plain -f $DOCKERFILE $TARGET_STR $PLATFORM $BUILD_ARGS $CACHE_FROM $CACHE_TO $TAG $LATEST_TAG $BUILD_CONTEXT_ARG $BUILD_CONTEXT $NO_CACHE 2>&1 | tee "${SINGLE_BUILD_LOG}"
    BUILD_EXIT_CODE=${PIPESTATUS[0]}
fi

if [ ${BUILD_EXIT_CODE} -ne 0 ]; then
    exit ${BUILD_EXIT_CODE}
fi

# Handle --make-efa flag: add AWS EFA layer on top of the built image
# This runs BEFORE local-dev so the flow is: dev -> dev-aws -> local-dev-aws
if [[ "${MAKE_EFA:-}" == "true" ]]; then
    # Get the base image that was just built (use PRIMARY_TAG to avoid parsing issues)
    BASE_IMAGE_FOR_EFA="${PRIMARY_TAG}"

    # Determine the EFA stage based on the target
    # runtime target -> runtime-aws stage
    # dev/local-dev target -> dev-aws stage
    if [[ "${TARGET:-dev}" == "runtime" ]]; then
        EFA_STAGE="runtime-aws"
    else
        EFA_STAGE="dev-aws"
    fi

    # Build AWS tags by appending -aws to existing tags
    AWS_TAGS=""
    if [[ -n "$TAG" ]]; then
        AWS_TAG=$(echo "$TAG" | sed 's/--tag //')
        AWS_TAGS+=" --tag ${AWS_TAG}-aws"
    fi
    if [[ -n "$LATEST_TAG" ]]; then
        AWS_LATEST_TAG=$(echo "$LATEST_TAG" | sed 's/--tag //')
        AWS_TAGS+=" --tag ${AWS_LATEST_TAG}-aws"
    fi

    build_aws_with_header "$BASE_IMAGE_FOR_EFA" "$AWS_TAGS" "$EFA_STAGE" "Successfully built ${EFA_STAGE} image"
fi

{ set +x; } 2>/dev/null