mirror of
https://github.com/cpacker/MemGPT.git
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8fc8c55f14
Co-authored-by: Shubham Naik <shub@memgpt.ai> Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
106 lines
3.4 KiB
TOML
106 lines
3.4 KiB
TOML
[tool.poetry]
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name = "letta"
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version = "0.4.1"
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packages = [
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{include = "letta"}
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]
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description = "Create LLM agents with long-term memory and custom tools"
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authors = [
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"Letta Team <contact@letta.com>",
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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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letta = "letta.main:app"
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[tool.poetry.dependencies]
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python = "<3.13,>=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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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 = ">=0.16,<0.17"
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httpx = "^0.27.2"
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numpy = "^1.26.2"
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demjson3 = "^3.0.6"
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#tiktoken = ">=0.7.0,<0.8.0"
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pyyaml = "^6.0.1"
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chromadb = ">=0.4.24,<0.5.0"
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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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pydantic = "^2.7.4"
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pyautogen = {version = "0.2.22", 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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qdrant-client = {version="^1.9.1", optional = true}
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pymilvus = {version ="^2.4.3", optional = true}
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python-box = "^7.1.1"
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sqlmodel = "^0.0.16"
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autoflake = {version = "^2.3.0", optional = true}
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#llama-index-embeddings-huggingface = {version = "^0.2.0", optional = true}
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#llama-index-embeddings-azure-openai = "^0.1.6"
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#llama-index-embeddings-ollama = {version = "^0.1.2", optional = true}
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python-multipart = "^0.0.9"
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sqlalchemy-utils = "^0.41.2"
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pytest-order = {version = "^1.2.0", optional = true}
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pytest-asyncio = {version = "^0.23.2", optional = true}
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pydantic-settings = "^2.2.1"
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httpx-sse = "^0.4.0"
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isort = { version = "^5.13.2", optional = true }
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crewai = {version = "^0.41.1", optional = true}
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crewai-tools = {version = "^0.8.3", optional = true}
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docker = {version = "^7.1.0", optional = true}
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tiktoken = "^0.7.0"
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nltk = "^3.8.1"
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jinja2 = "^3.1.4"
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locust = "^2.31.5"
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llama-index = "^0.11.9"
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llama-index-embeddings-openai = "^0.2.5"
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llama-index-embeddings-ollama = "^0.3.1"
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#llama-index-embeddings-huggingface = {version = "^0.2.0", optional = true}
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wikipedia = {version = "^1.4.0", optional = true}
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langchain = {version = "^0.2.16", optional = true}
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langchain-community = {version = "^0.2.17", optional = true}
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composio-langchain = "^0.5.28"
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composio-core = "^0.5.28"
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alembic = "^1.13.3"
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[tool.poetry.extras]
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#local = ["llama-index-embeddings-huggingface"]
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postgres = ["pgvector", "pg8000", "psycopg2-binary"]
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milvus = ["pymilvus"]
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dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort"]
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server = ["websockets", "fastapi", "uvicorn"]
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autogen = ["pyautogen"]
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qdrant = ["qdrant-client"]
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ollama = ["llama-index-embeddings-ollama"]
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external-tools = ["crewai", "docker", "crewai-tools", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain"]
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tests = ["wikipedia"]
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[tool.poetry.group.dev.dependencies]
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black = "^24.4.2"
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ipykernel = "^6.29.5"
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ipdb = "^0.13.13"
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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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extend-exclude = "examples/*"
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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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