pyproject.toml

[tool.poetry]
name = "pymemgpt"
version = "0.1.18"
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 = { version = "^1.7.4", optional = true }
tiktoken = "^0.5.1"
pymupdf = "^1.23.5"
tqdm = "^4.66.1"
openai = "^0.28.1"
black = { version = "^23.10.1", optional = true }
pytest = { version = "^7.4.3", optional = true }
llama-index = "^0.8.53.post3"
setuptools = "^68.2.2"
datasets = { version = "^2.14.6", optional = true}
prettytable = "^3.9.0"
pgvector = { version = "^0.2.3", optional = true }
psycopg = { version = "^3.1.12", optional = true }
psycopg-binary = { version = "^3.1.12", optional = true }
psycopg2-binary = { version = "^2.9.9", optional = true }
torch = { version = "2.1.0", optional = true }
huggingface-hub = { version = "0.17.3", optional = true }
transformers = { version = "4.34.1", optional = true }
pre-commit = {version = "^3.5.0", optional = true }

[tool.poetry.extras]
legacy = ["faiss-cpu", "numpy"]
local = ["torch", "huggingface-hub", "transformers"]
postgres = ["pgvector", "psycopg", "psycopg-binary", "psycopg2-binary"]
dev = ["pytest", "black", "pre-commit", "datasets"]

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