forked from phoenix-oss/llama-stack-mirror
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
115 lines
3.6 KiB
Bash
Executable file
115 lines
3.6 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=${TEST_PYPI_VERSION:-}
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if [ -n "$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=$LLAMA_MODELS_DIR"
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fi
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set -euo pipefail
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if [ "$#" -ne 2 ]; then
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echo "Usage: $0 <distribution_type> <build_name> <pip_dependencies>" >&2
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echo "Example: $0 <distribution_type> mybuild 'numpy pandas scipy'" >&2
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exit 1
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fi
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build_name="$1"
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env_name="llamastack-$build_name"
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pip_dependencies="$2"
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# Define color codes
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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NC='\033[0m' # No Color
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# this is set if we actually create a new conda in which case we need to clean up
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ENVNAME=""
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SCRIPT_DIR=$(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="$2"
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local python_version="3.10"
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# Check if conda command is available
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if ! command -v conda &>/dev/null; then
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printf "${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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if [ -n "$TEST_PYPI_VERSION" ]; then
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# these packages are damaged in test-pypi, so install them first
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pip install fastapi libcst
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pip install --extra-index-url https://test.pypi.org/simple/ llama-models==$TEST_PYPI_VERSION llama-stack==$TEST_PYPI_VERSION $pip_dependencies
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else
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# Re-installing llama-stack in the new conda environment
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if [ -n "$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: $LLAMA_STACK_DIR\n"
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pip install --no-cache-dir -e "$LLAMA_STACK_DIR"
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else
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pip install --no-cache-dir llama-stack
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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: $LLAMA_MODELS_DIR\n"
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pip uninstall -y llama-models
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pip install --no-cache-dir -e "$LLAMA_MODELS_DIR"
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fi
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# Install pip dependencies
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if [ -n "$pip_dependencies" ]; then
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printf "Installing pip dependencies: $pip_dependencies\n"
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pip install $pip_dependencies
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fi
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fi
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}
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ensure_conda_env_python310 "$env_name" "$pip_dependencies"
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