forked from phoenix-oss/llama-stack-mirror
- Added new template `dell` and its documentation - Update docs - [minor] uv fix i came across - codegen for all templates Tested with ```bash export INFERENCE_PORT=8181 export DEH_URL=http://0.0.0.0:$INFERENCE_PORT export INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct export CHROMADB_HOST=localhost export CHROMADB_PORT=6601 export CHROMA_URL=[http://$CHROMADB_HOST:$CHROMADB_PORT](about:blank) export CUDA_VISIBLE_DEVICES=0 export LLAMA_STACK_PORT=8321 # build the stack template llama stack build --template=dell # start the TGI inference server podman run --rm -it --network host -v $HOME/.cache/huggingface:/data -e HF_TOKEN=$HF_TOKEN -p $INFERENCE_PORT:$INFERENCE_PORT --gpus $CUDA_VISIBLE_DEVICES [ghcr.io/huggingface/text-generation-inference](http://ghcr.io/huggingface/text-generation-inference) --dtype bfloat16 --usage-stats off --sharded false --cuda-memory-fraction 0.7 --model-id $INFERENCE_MODEL --port $INFERENCE_PORT --hostname 0.0.0.0 # start chroma-db for vector-io ( aka RAG ) podman run --rm -it --network host --name chromadb -v .:/chroma/chroma -e IS_PERSISTENT=TRUE chromadb/chroma:latest --port $CHROMADB_PORT --host $(hostname) # build docker llama stack build --template=dell --image-type=container # run llama stack server ( via docker ) podman run -it \ --network host \ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \ -v ~/.llama:/root/.llama \ # NOTE: mount the llama-stack / llama-model directories if testing local changes -v /home/hjshah/git/llama-stack:/app/llama-stack-source -v /home/hjshah/git/llama-models:/app/llama-models-source \ localhost/distribution-dell:dev \ --port $LLAMA_STACK_PORT \ --env INFERENCE_MODEL=$INFERENCE_MODEL \ --env DEH_URL=$DEH_URL \ --env CHROMA_URL=$CHROMA_URL # test the server cd <PATH_TO_LLAMA_STACK_REPO> LLAMA_STACK_BASE_URL=http://0.0.0.0:$LLAMA_STACK_PORT pytest -s -v tests/client-sdk/agents/test_agents.py ``` --------- Co-authored-by: Hardik Shah <hjshah@fb.com>
148 lines
4.8 KiB
Bash
Executable file
148 lines
4.8 KiB
Bash
Executable file
#!/bin/bash
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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LLAMA_MODELS_DIR=${LLAMA_MODELS_DIR:-}
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LLAMA_STACK_DIR=${LLAMA_STACK_DIR:-}
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TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
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# This timeout (in seconds) is necessary when installing PyTorch via uv since it's likely to time out
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# Reference: https://github.com/astral-sh/uv/pull/1694
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UV_HTTP_TIMEOUT=${UV_HTTP_TIMEOUT:-500}
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if [ -n "$LLAMA_STACK_DIR" ]; then
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echo "Using llama-stack-dir=$LLAMA_STACK_DIR"
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fi
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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echo "Using llama-models-dir=$LLAMA_MODELS_DIR"
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fi
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if [ "$#" -lt 3 ]; then
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echo "Usage: $0 <distribution_type> <conda_env_name> <build_file_path> <pip_dependencies> [<special_pip_deps>]" >&2
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echo "Example: $0 <distribution_type> my-conda-env ./my-stack-build.yaml 'numpy pandas scipy'" >&2
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exit 1
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fi
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special_pip_deps="$4"
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set -euo pipefail
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env_name="$1"
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build_file_path="$2"
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pip_dependencies="$3"
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# Define color codes
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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NC='\033[0m' # No Color
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# this is set if we actually create a new conda in which case we need to clean up
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ENVNAME=""
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SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
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source "$SCRIPT_DIR/common.sh"
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ensure_conda_env_python310() {
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local env_name="$1"
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local pip_dependencies="$2"
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local special_pip_deps="$3"
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local python_version="3.10"
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# Check if conda command is available
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if ! command -v conda &>/dev/null; then
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printf "${RED}Error: conda command not found. Is Conda installed and in your PATH?${NC}" >&2
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exit 1
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fi
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# Check if the environment exists
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if conda env list | grep -q "^${env_name} "; then
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printf "Conda environment '${env_name}' exists. Checking Python version...\n"
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# Check Python version in the environment
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current_version=$(conda run -n "${env_name}" python --version 2>&1 | cut -d' ' -f2 | cut -d'.' -f1,2)
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if [ "$current_version" = "$python_version" ]; then
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printf "Environment '${env_name}' already has Python ${python_version}. No action needed.\n"
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else
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printf "Updating environment '${env_name}' to Python ${python_version}...\n"
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conda install -n "${env_name}" python="${python_version}" -y
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fi
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else
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printf "Conda environment '${env_name}' does not exist. Creating with Python ${python_version}...\n"
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conda create -n "${env_name}" python="${python_version}" -y
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ENVNAME="${env_name}"
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# setup_cleanup_handlers
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fi
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eval "$(conda shell.bash hook)"
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conda deactivate && conda activate "${env_name}"
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$CONDA_PREFIX/bin/pip install uv
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if [ -n "$TEST_PYPI_VERSION" ]; then
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# these packages are damaged in test-pypi, so install them first
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uv pip install fastapi libcst
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uv pip install --extra-index-url https://test.pypi.org/simple/ \
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llama-models==$TEST_PYPI_VERSION \
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llama-stack-client==$TEST_PYPI_VERSION \
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llama-stack==$TEST_PYPI_VERSION \
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$pip_dependencies
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if [ -n "$special_pip_deps" ]; then
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IFS='#' read -ra parts <<<"$special_pip_deps"
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for part in "${parts[@]}"; do
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echo "$part"
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uv pip install $part
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done
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fi
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else
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# Re-installing llama-stack in the new conda environment
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if [ -n "$LLAMA_STACK_DIR" ]; then
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if [ ! -d "$LLAMA_STACK_DIR" ]; then
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printf "${RED}Warning: LLAMA_STACK_DIR is set but directory does not exist: $LLAMA_STACK_DIR${NC}\n" >&2
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exit 1
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fi
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printf "Installing from LLAMA_STACK_DIR: $LLAMA_STACK_DIR\n"
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uv pip install --no-cache-dir -e "$LLAMA_STACK_DIR"
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else
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PYPI_VERSION="${PYPI_VERSION:-}"
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if [ -n "$PYPI_VERSION" ]; then
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SPEC_VERSION="llama-stack==${PYPI_VERSION} llama-models==${PYPI_VERSION} llama-stack-client==${PYPI_VERSION}"
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else
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SPEC_VERSION="llama-stack"
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fi
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uv pip install --no-cache-dir $SPEC_VERSION
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fi
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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if [ ! -d "$LLAMA_MODELS_DIR" ]; then
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printf "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}\n" >&2
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exit 1
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fi
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printf "Installing from LLAMA_MODELS_DIR: $LLAMA_MODELS_DIR\n"
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uv pip uninstall llama-models
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uv pip install --no-cache-dir -e "$LLAMA_MODELS_DIR"
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fi
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# Install pip dependencies
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printf "Installing pip dependencies\n"
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uv pip install $pip_dependencies
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if [ -n "$special_pip_deps" ]; then
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IFS='#' read -ra parts <<<"$special_pip_deps"
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for part in "${parts[@]}"; do
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echo "$part"
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uv pip install $part
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done
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fi
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fi
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mv $build_file_path $CONDA_PREFIX/llamastack-build.yaml
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echo "Build spec configuration saved at $CONDA_PREFIX/llamastack-build.yaml"
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}
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ensure_conda_env_python310 "$env_name" "$pip_dependencies" "$special_pip_deps"
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