llama-stack/llama_toolchain/core/build_conda_env.sh
Ashwin Bharambe 7bc7785b0d
API Updates: fleshing out RAG APIs, introduce "llama stack" CLI command (#51)
* add tools to chat completion request

* use templates for generating system prompts

* Moved ToolPromptFormat and jinja templates to llama_models.llama3.api

* <WIP> memory changes

- inlined AgenticSystemInstanceConfig so API feels more ergonomic
- renamed it to AgentConfig, AgentInstance -> Agent
- added a MemoryConfig and `memory` parameter
- added `attachments` to input and `output_attachments` to the response

- some naming changes

* InterleavedTextAttachment -> InterleavedTextMedia, introduce memory tool

* flesh out memory banks API

* agentic loop has a RAG implementation

* faiss provider implementation

* memory client works

* re-work tool definitions, fix FastAPI issues, fix tool regressions

* fix agentic_system utils

* basic RAG seems to work

* small bug fixes for inline attachments

* Refactor custom tool execution utilities

* Bug fix, show memory retrieval steps in EventLogger

* No need for api_key for Remote providers

* add special unicode character ↵ to showcase newlines in model prompt templates

* remove api.endpoints imports

* combine datatypes.py and endpoints.py into api.py

* Attachment / add TTL api

* split batch_inference from inference

* minor import fixes

* use a single impl for ChatFormat.decode_assistant_mesage

* use interleaved_text_media_as_str() utilityt

* Fix api.datatypes imports

* Add blobfile for tiktoken

* Add ToolPromptFormat to ChatFormat.encode_message so that tools are encoded properly

* templates take optional --format={json,function_tag}

* Rag Updates

* Add `api build` subcommand -- WIP

* fix

* build + run image seems to work

* <WIP> adapters

* bunch more work to make adapters work

* api build works for conda now

* ollama remote adapter works

* Several smaller fixes to make adapters work

Also, reorganized the pattern of __init__ inside providers so
configuration can stay lightweight

* llama distribution -> llama stack + containers (WIP)

* All the new CLI for api + stack work

* Make Fireworks and Together into the Adapter format

* Some quick fixes to the CLI behavior to make it consistent

* Updated README phew

* Update cli_reference.md

* llama_toolchain/distribution -> llama_toolchain/core

* Add termcolor

* update paths

* Add a log just for consistency

* chmod +x scripts

* Fix api dependencies not getting added to configuration

* missing import lol

* Delete utils.py; move to agentic system

* Support downloading of URLs for attachments for code interpreter

* Simplify and generalize `llama api build` yay

* Update `llama stack configure` to be very simple also

* Fix stack start

* Allow building an "adhoc" distribution

* Remote `llama api []` subcommands

* Fixes to llama stack commands and update docs

* Update documentation again and add error messages to llama stack start

* llama stack start -> llama stack run

* Change name of build for less confusion

* Add pyopenapi fork to the repository, update RFC assets

* Remove conflicting annotation

* Added a "--raw" option for model template printing

---------

Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
Co-authored-by: Dalton Flanagan <6599399+dltn@users.noreply.github.com>
2024-09-03 22:39:39 -07:00

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#!/bin/bash
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
LLAMA_MODELS_DIR=${LLAMA_MODELS_DIR:-}
LLAMA_TOOLCHAIN_DIR=${LLAMA_TOOLCHAIN_DIR:-}
TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
echo "Using llama-toolchain-dir=$LLAMA_TOOLCHAIN_DIR"
fi
if [ -n "$LLAMA_MODELS_DIR" ]; then
echo "Using llama-models-dir=$LLAMA_MODELS_DIR"
fi
set -euo pipefail
if [ "$#" -ne 3 ]; then
echo "Usage: $0 <distribution_id> <build_name> <pip_dependencies>" >&2
echo "Example: $0 <distribution_id> mybuild 'numpy pandas scipy'" >&2
exit 1
fi
distribution_id="$1"
build_name="$2"
env_name="llamastack-$build_name"
pip_dependencies="$3"
# Define color codes
RED='\033[0;31m'
GREEN='\033[0;32m'
NC='\033[0m' # No Color
# this is set if we actually create a new conda in which case we need to clean up
ENVNAME=""
SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
source "$SCRIPT_DIR/common.sh"
ensure_conda_env_python310() {
local env_name="$1"
local pip_dependencies="$2"
local python_version="3.10"
# Check if conda command is available
if ! command -v conda &>/dev/null; then
printf "${RED}Error: conda command not found. Is Conda installed and in your PATH?${NC}" >&2
exit 1
fi
# Check if the environment exists
if conda env list | grep -q "^${env_name} "; then
printf "Conda environment '${env_name}' exists. Checking Python version...\n"
# Check Python version in the environment
current_version=$(conda run -n "${env_name}" python --version 2>&1 | cut -d' ' -f2 | cut -d'.' -f1,2)
if [ "$current_version" = "$python_version" ]; then
printf "Environment '${env_name}' already has Python ${python_version}. No action needed.\n"
else
printf "Updating environment '${env_name}' to Python ${python_version}...\n"
conda install -n "${env_name}" python="${python_version}" -y
fi
else
printf "Conda environment '${env_name}' does not exist. Creating with Python ${python_version}...\n"
conda create -n "${env_name}" python="${python_version}" -y
ENVNAME="${env_name}"
# setup_cleanup_handlers
fi
eval "$(conda shell.bash hook)"
conda deactivate && conda activate "${env_name}"
if [ -n "$TEST_PYPI_VERSION" ]; then
# these packages are damaged in test-pypi, so install them first
pip install fastapi libcst
pip install --extra-index-url https://test.pypi.org/simple/ llama-models==$TEST_PYPI_VERSION llama-toolchain==$TEST_PYPI_VERSION $pip_dependencies
else
# Re-installing llama-toolchain in the new conda environment
if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
printf "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}\n" >&2
exit 1
fi
printf "Installing from LLAMA_TOOLCHAIN_DIR: $LLAMA_TOOLCHAIN_DIR\n"
pip install --no-cache-dir -e "$LLAMA_TOOLCHAIN_DIR"
else
pip install --no-cache-dir llama-toolchain
fi
if [ -n "$LLAMA_MODELS_DIR" ]; then
if [ ! -d "$LLAMA_MODELS_DIR" ]; then
printf "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}\n" >&2
exit 1
fi
printf "Installing from LLAMA_MODELS_DIR: $LLAMA_MODELS_DIR\n"
pip uninstall -y llama-models
pip install --no-cache-dir -e "$LLAMA_MODELS_DIR"
fi
# Install pip dependencies
if [ -n "$pip_dependencies" ]; then
printf "Installing pip dependencies: $pip_dependencies\n"
pip install $pip_dependencies
fi
fi
}
ensure_conda_env_python310 "$env_name" "$pip_dependencies"
printf "${GREEN}Successfully setup conda environment. Configuring build...${NC}\n"
if [ "$distribution_id" = "adhoc" ]; then
subcommand="api"
target=""
else
subcommand="stack"
target="$distribution_id"
fi
$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type conda_env