forked from phoenix-oss/llama-stack-mirror
* 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>
128 lines
4 KiB
Bash
Executable file
128 lines
4 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=${LLAMA_MODELS_DIR:-}
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LLAMA_TOOLCHAIN_DIR=${LLAMA_TOOLCHAIN_DIR:-}
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TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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echo "Using llama-toolchain-dir=$LLAMA_TOOLCHAIN_DIR"
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fi
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if [ -n "$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 3 ]; then
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echo "Usage: $0 <distribution_id> <build_name> <pip_dependencies>" >&2
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echo "Example: $0 <distribution_id> mybuild 'numpy pandas scipy'" >&2
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exit 1
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fi
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distribution_id="$1"
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build_name="$2"
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env_name="llamastack-$build_name"
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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="$2"
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local python_version="3.10"
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# Check if conda command is available
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if ! command -v conda &>/dev/null; then
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printf "${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-toolchain==$TEST_PYPI_VERSION $pip_dependencies
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else
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# Re-installing llama-toolchain in the new conda environment
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
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printf "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}\n" >&2
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exit 1
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fi
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printf "Installing from LLAMA_TOOLCHAIN_DIR: $LLAMA_TOOLCHAIN_DIR\n"
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pip install --no-cache-dir -e "$LLAMA_TOOLCHAIN_DIR"
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else
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pip install --no-cache-dir llama-toolchain
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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" "$pip_dependencies"
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printf "${GREEN}Successfully setup conda environment. Configuring build...${NC}\n"
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if [ "$distribution_id" = "adhoc" ]; then
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subcommand="api"
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target=""
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else
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subcommand="stack"
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target="$distribution_id"
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fi
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$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama $subcommand configure $target --name "$build_name" --type conda_env
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