Dockerfile.tensorrt_llm

# SPDX-FileCopyrightText: Copyright (c) 2025 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.

ARG BASE_IMAGE="gitlab-master.nvidia.com:5005/dl/dgx/tritonserver/tensorrt-llm/amd64"
ARG BASE_IMAGE_TAG="krish-fix-trtllm-build.23766174"

FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG} AS dev

USER root

# Install utilities
RUN apt update -y && apt install -y git wget curl nvtop tmux vim
# nats
RUN wget https://github.com/nats-io/nats-server/releases/download/v2.10.24/nats-server-v2.10.24-amd64.deb && dpkg -i nats-server-v2.10.24-amd64.deb
# etcd
ENV ETCD_VERSION="v3.5.18"
RUN wget https://github.com/etcd-io/etcd/releases/download/$ETCD_VERSION/etcd-$ETCD_VERSION-linux-amd64.tar.gz -O /tmp/etcd.tar.gz && \
mkdir -p /usr/local/bin/etcd && \
tar -xvf /tmp/etcd.tar.gz -C /usr/local/bin/etcd --strip-components=1
ENV PATH=/usr/local/bin/etcd/:$PATH

# TODO: Try using uv to install tensorrtllm
ARG TENSORRTLLM_PIP_WHEEL_PATH=""
COPY ${TENSORRTLLM_PIP_WHEEL_PATH}/*.whl /tmp/
RUN find /tmp -name "*.whl" -exec pip install {} +

# Install genai-perf for benchmarking
# TODO: Move to tag when fix for genai-perf will be released
ARG GENAI_PERF_TAG="25d0188713adc47868d6b3f22426375237a90529"
RUN pip install "git+https://github.com/triton-inference-server/perf_analyzer.git@${GENAI_PERF_TAG}#subdirectory=genai-perf"

# Install test dependencies
RUN --mount=type=bind,source=./container/deps/requirements.test.txt,target=/tmp/requirements.txt \
    pip install --requirement /tmp/requirements.txt

### MISC UTILITY SETUP ###

# Finish pyright install
RUN pyright --help > /dev/null 2>&1

# Enable Git operations in the /workspace directory
RUN printf "[safe]\n      directory=/workspace\n" > /root/.gitconfig

RUN ln -sf /bin/bash /bin/sh

# Rust build/dev dependencies
RUN apt-get update && \
    apt-get install --no-install-recommends --yes  gdb protobuf-compiler cmake libssl-dev pkg-config

RUN curl https://sh.rustup.rs -sSf | bash -s -- -y
ENV PATH="/root/.cargo/bin:${PATH}"
RUN rustup toolchain install 1.85.0-x86_64-unknown-linux-gnu

# Working directory
WORKDIR /workspace

# Copy Python wheel configuration files
COPY pyproject.toml /workspace/
COPY README.md /workspace/
COPY LICENSE /workspace/

# Build Rust runtime
COPY lib/runtime /workspace/lib/runtime
RUN cd lib/runtime && \
    cargo build --release --locked && cargo doc --no-deps

# Build OpenAI HTTP Service binaries
COPY lib/llm /workspace/lib/llm
COPY examples/rust /workspace/examples/rust
RUN cd examples/rust && \
    cargo build --release && \
    cp target/release/http /usr/local/bin/ && \
    cp target/release/llmctl /usr/local/bin/

# TODO: Build dynamo-run
# COPY applications/...

COPY deploy/dynamo/sdk /workspace/deploy/dynamo/sdk


# Generate C bindings. Note that this is required for TRTLLM backend re-build
COPY lib/bindings /workspace/lib/bindings
RUN cd lib/bindings/c/ && \
    cargo build --release --locked && cargo doc --no-deps

# Install uv, create virtualenv for general use, and build dynamo wheel
COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
RUN mkdir /opt/dynamo && \
    uv venv /opt/dynamo/venv --python 3.12 && \
    source /opt/dynamo/venv/bin/activate && \
    uv build --wheel --out-dir /workspace/dist && \
    uv pip install /workspace/dist/ai_dynamo*cp312*.whl && \
    cd /workspace/deploy/dynamo/sdk && \
    uv build --wheel --out-dir /workspace/dist && \
    uv pip install /workspace/dist/ai_dynamo_sdk*any.whl

# Package the bindings
RUN mkdir -p /opt/dynamo/bindings/wheels && \
    mkdir /opt/dynamo/bindings/lib && \
    cp dist/ai_dynamo*cp312*.whl /opt/dynamo/bindings/wheels/. && \
    cp lib/bindings/c/target/release/libdynamo_llm_capi.so /opt/dynamo/bindings/lib/. && \
    cp -r lib/bindings/c/include /opt/dynamo/bindings/.

# Install dynamo.runtime and dynamo.llm wheels globally in container for tests that
# currently run without virtual environment activated.
# TODO: In future, we may use a virtualenv for everything and remove this.
RUN cd /opt/dynamo/bindings/wheels && \
    pip install ai_dynamo*cp312*.whl  && \
    pip install /workspace/dist/ai_dynamo_sdk*any.whl

# Tell TRTLLM worker to use the Dynamo LLM C API for KV Cache Routing
ENV DYNAMO_KV_CAPI_PATH="/opt/dynamo/bindings/lib/libdynamo_llm_capi.so"

# FIXME: Copy more specific folders in for dev/debug after directory restructure
COPY . /workspace

# FIXME: May want a modification with dynamo banner on entry
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
CMD []