pyproject.toml

[tool.poetry]
name = "pymemgpt"
version = "0.1.6"
packages = [
    {include = "memgpt"}
]
description = "Teaching LLMs memory management for unbounded context"
authors = [
    "Charles Packer <contact@charlespacker.com>",
    "Vivian Fang <hi@vivi.sh>",
    "Sarah Wooders <sarahwooders@gmail.com>",
    "Shishir Patil <shishirpatil@berkeley.edu>",
    "Kevin Lin <kevinlin@eecs.berkeley.edu>"
]
license = "Apache License"
readme = "README.md"

[tool.poetry.scripts]
memgpt = "memgpt.main:app"

[tool.poetry.dependencies]
python = "<3.12,>=3.9"
typer = {extras = ["all"], version = "^0.9.0"}
questionary = "^2.0.1"
demjson3 = "^3.0.6"
numpy = "^1.26.1"
pytz = "^2023.3.post1"
faiss-cpu = "^1.7.4"
tiktoken = "^0.5.1"
pymupdf = "^1.23.5"
tqdm = "^4.66.1"
openai = "^0.28.1"
black = "^23.10.1"
pytest = "^7.4.3"
llama-index = "^0.8.53.post3"
setuptools = "^68.2.2"
datasets = "^2.14.6"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"