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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "pymemgpt"
version = "0.3.17"
packages = [
{include = "memgpt"}
]
description = "Create LLM agents with long-term memory and custom tools"
authors = [
"MemGPT Team <hi@memgpt.ai>",
]
license = "Apache License"
readme = "README.md"
[tool.poetry.scripts]
memgpt = "memgpt.main:app"
[tool.poetry.dependencies]
python = "<3.13,>=3.10"
typer = {extras = ["all"], version = "^0.9.0"}
questionary = "^2.0.1"
pytz = "^2023.3.post1"
tqdm = "^4.66.1"
black = {extras = ["jupyter"], version = "^24.2.0"}
setuptools = "^68.2.2"
datasets = { version = "^2.14.6", optional = true}
prettytable = "^3.9.0"
pgvector = { version = "^0.2.3", optional = true }
pre-commit = {version = "^3.5.0", optional = true }
pg8000 = {version = "^1.30.3", optional = true}
websockets = {version = "^12.0", optional = true}
docstring-parser = "^0.15"
lancedb = "^0.3.3"
httpx = "^0.25.2"
numpy = "^1.26.2"
demjson3 = "^3.0.6"
tiktoken = "^0.5.1"
pyyaml = "^6.0.1"
chromadb = "^0.5.0"
sqlalchemy-json = "^0.7.0"
fastapi = {version = "^0.104.1", optional = true}
uvicorn = {version = "^0.24.0.post1", optional = true}
pydantic = "^2.5.2"
pyautogen = {version = "0.2.22", optional = true}
html2text = "^2020.1.16"
docx2txt = "^0.8"
sqlalchemy = "^2.0.25"
pexpect = {version = "^4.9.0", optional = true}
pyright = {version = "^1.1.347", optional = true}
qdrant-client = {version="^1.9.1", optional = true}
pymilvus = {version ="^2.4.3", optional = true}
python-box = "^7.1.1"
sqlmodel = "^0.0.16"
autoflake = {version = "^2.3.0", optional = true}
llama-index = "^0.10.27"
llama-index-embeddings-openai = "^0.1.1"
llama-index-embeddings-huggingface = {version = "^0.2.0", optional = true}
llama-index-embeddings-azure-openai = "^0.1.6"
python-multipart = "^0.0.9"
sqlalchemy-utils = "^0.41.2"
pytest-order = {version = "^1.2.0", optional = true}
pytest-asyncio = {version = "^0.23.2", optional = true}
pytest = { version = "^7.4.4", optional = true }
pydantic-settings = "^2.2.1"
httpx-sse = "^0.4.0"
isort = { version = "^5.13.2", optional = true }
llama-index-embeddings-ollama = {version = "^0.1.2", optional = true}
protobuf = "3.20.0"
[tool.poetry.extras]
local = ["llama-index-embeddings-huggingface"]
postgres = ["pgvector", "pg8000", "psycopg2-binary"]
milvus = ["pymilvus"]
dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort"]
server = ["websockets", "fastapi", "uvicorn"]
autogen = ["pyautogen"]
qdrant = ["qdrant-client"]
ollama = ["llama-index-embeddings-ollama"]
[tool.black]
line-length = 140
target-version = ['py310', 'py311']
extend-exclude = "examples/*"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"