[tool.poetry]
name = "letta"
version = "0.5.4"
packages = [
    {include = "letta"}
]
description = "Create LLM agents with long-term memory and custom tools"
authors = [
    "Letta Team <contact@letta.com>",
]
license = "Apache License"
readme = "README.md"

[tool.poetry.scripts]
letta = "letta.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 = ">=0.16,<0.17"
httpx = "^0.27.2"
numpy = "^1.26.2"
demjson3 = "^3.0.6"
#tiktoken = ">=0.7.0,<0.8.0"
pyyaml = "^6.0.1"
chromadb = ">=0.4.24,<0.5.0"
sqlalchemy-json = "^0.7.0"
fastapi = {version = "^0.104.1", optional = true}
uvicorn = {version = "^0.24.0.post1", optional = true}
pydantic = ">=2.7.4,<2.10.0"
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}
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}
pydantic-settings = "^2.2.1"
httpx-sse = "^0.4.0"
isort = { version = "^5.13.2", optional = true }
docker = {version = "^7.1.0", optional = true}
tiktoken = "^0.7.0"
nltk = "^3.8.1"
jinja2 = "^3.1.4"
locust = {version = "^2.31.5", optional = true}
llama-index = "^0.11.9"
llama-index-embeddings-openai = "^0.2.5"
llama-index-embeddings-ollama = "^0.3.1"
wikipedia = {version = "^1.4.0", optional = true}
composio-langchain = {version = "^0.5.28", optional = true}
composio-core = {version = "^0.5.34", optional = true}
alembic = "^1.13.3"
pyhumps = "^3.8.0"
psycopg2 = "^2.9.10"
psycopg2-binary = "^2.9.10"
e2b-code-interpreter = {version = "^1.0.1", optional = true}
pathvalidate = "^3.2.1"
langchain-community = {version = "^0.3.7", optional = true}
langchain = {version = "^0.3.7", optional = true}

[tool.poetry.extras]
#local = ["llama-index-embeddings-huggingface"]
postgres = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2"]
milvus = ["pymilvus"]
dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort", "locust"]
server = ["websockets", "fastapi", "uvicorn"]
autogen = ["pyautogen"]
qdrant = ["qdrant-client"]
ollama = ["llama-index-embeddings-ollama"]
cloud-tool-sandbox = ["e2b-code-interpreter"]
external-tools = ["docker", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain"]
tests = ["wikipedia"]
all = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2", "pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort", "websockets", "fastapi", "uvicorn", "llama-index-embeddings-ollama", "docker", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain", "locust"]

[tool.poetry.group.dev.dependencies]
black = "^24.4.2"
ipykernel = "^6.29.5"
ipdb = "^0.13.13"

[tool.black]
line-length = 140
target-version = ['py310', 'py311']
extend-exclude = "examples/*"

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