mirror of
https://github.com/cpacker/MemGPT.git
synced 2025-06-03 04:30:22 +00:00
74 lines
2.1 KiB
TOML
74 lines
2.1 KiB
TOML
[tool.poetry]
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name = "pymemgpt"
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version = "0.3.4"
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packages = [
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{include = "memgpt"}
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]
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description = "Teaching LLMs memory management for unbounded context"
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authors = [
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"MemGPT Team <hi@memgpt.ai>",
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]
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license = "Apache License"
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readme = "README.md"
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[tool.poetry.scripts]
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memgpt = "memgpt.main:app"
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[tool.poetry.dependencies]
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python = "<3.12,>=3.10"
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typer = {extras = ["all"], version = "^0.9.0"}
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questionary = "^2.0.1"
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pytz = "^2023.3.post1"
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tqdm = "^4.66.1"
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black = {extras = ["jupyter"], version = "^24.2.0"}
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pytest = { version = "^7.4.4", optional = true }
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setuptools = "^68.2.2"
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datasets = { version = "^2.14.6", optional = true}
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prettytable = "^3.9.0"
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pgvector = { version = "^0.2.3", optional = true }
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pre-commit = {version = "^3.5.0", optional = true }
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pg8000 = {version = "^1.30.3", optional = true}
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websockets = {version = "^12.0", optional = true}
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docstring-parser = "^0.15"
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lancedb = "^0.3.3"
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httpx = "^0.25.2"
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numpy = "^1.26.2"
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demjson3 = "^3.0.6"
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tiktoken = "^0.5.1"
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pypdf = "^3.17.1"
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pyyaml = "^6.0.1"
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chromadb = "^0.4.18"
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sqlalchemy-json = "^0.7.0"
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fastapi = {version = "^0.104.1", optional = true}
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uvicorn = {version = "^0.24.0.post1", optional = true}
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pytest-asyncio = {version = "^0.23.2", optional = true}
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pydantic = "^2.5.2"
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pyautogen = {version = "0.2.0", optional = true}
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html2text = "^2020.1.16"
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docx2txt = "^0.8"
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sqlalchemy = "^2.0.25"
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pexpect = {version = "^4.9.0", optional = true}
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pyright = {version = "^1.1.347", optional = true}
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llama-index = "^0.10.6"
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llama-index-embeddings-openai = "^0.1.1"
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llama-index-embeddings-huggingface = "^0.1.4"
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python-box = "^7.1.1"
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pytest-order = {version = "^1.2.0", optional = true}
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sqlmodel = "^0.0.16"
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llama-index-embeddings-azure-openai = "^0.1.6"
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autoflake = {version = "^2.3.0", optional = true}
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[tool.poetry.extras]
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postgres = ["pgvector", "pg8000"]
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dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake"]
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server = ["websockets", "fastapi", "uvicorn"]
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autogen = ["pyautogen"]
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[tool.black]
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line-length = 140
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target-version = ['py310', 'py311']
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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