[project]
name = "letta"
version = "0.10.0"
description = "Create LLM agents with long-term memory and custom tools"
authors = [
    {name = "Letta Team", email = "contact@letta.com"},
]
license = {text = "Apache License"}
readme = "README.md"
requires-python = "<3.14,>=3.11"
dependencies = [
    "typer>=0.15.2",
    "questionary>=2.0.1",
    "pytz>=2023.3.post1",
    "tqdm>=4.66.1",
    "black[jupyter]>=24.2.0",
    "setuptools>=70",
    "prettytable>=3.9.0",
    "docstring-parser>=0.16,<0.17",
    "httpx>=0.28.0",
    "numpy>=2.1.0",
    "demjson3>=3.0.6",
    "pyyaml>=6.0.1",
    "sqlalchemy-json>=0.7.0",
    "pydantic>=2.10.6",
    "html2text>=2020.1.16",
    "sqlalchemy[asyncio]>=2.0.41",
    "python-box>=7.1.1",
    "sqlmodel>=0.0.16",
    "python-multipart>=0.0.19",
    "sqlalchemy-utils>=0.41.2",
    "pydantic-settings>=2.2.1",
    "httpx-sse>=0.4.0",
    "nltk>=3.8.1",
    "jinja2>=3.1.5",
    "composio-core>=0.7.7",
    "alembic>=1.13.3",
    "pyhumps>=3.8.0",
    "pathvalidate>=3.2.1",
    "sentry-sdk[fastapi]==2.19.1",
    "rich>=13.9.4",
    "brotli>=1.1.0",
    "grpcio>=1.68.1",
    "grpcio-tools>=1.68.1",
    "llama-index>=0.12.2",
    "llama-index-embeddings-openai>=0.3.1",
    "anthropic>=0.49.0",
    "letta_client>=0.1.277",
    "openai>=1.99.9",
    "opentelemetry-api==1.30.0",
    "opentelemetry-sdk==1.30.0",
    "opentelemetry-instrumentation-requests==0.51b0",
    "opentelemetry-instrumentation-sqlalchemy==0.51b0",
    "opentelemetry-exporter-otlp==1.30.0",
    "faker>=36.1.0",
    "colorama>=0.4.6",
    "marshmallow-sqlalchemy>=1.4.1",
    "datamodel-code-generator[http]>=0.25.0",
    "mcp[cli]>=1.9.4",
    "firecrawl-py>=2.8.0,<3.0.0",
    "apscheduler>=3.11.0",
    "aiomultiprocess>=0.9.1",
    "matplotlib>=3.10.1",
    "tavily-python>=0.7.2",
    "mistralai>=1.8.1",
    "structlog>=25.4.0",
    "certifi>=2025.6.15",
    "markitdown[docx,pdf,pptx]>=0.1.2",
    "orjson>=3.11.1",
]

[project.scripts]
letta = "letta.main:app"

[project.optional-dependencies]
# ====== Databases ======
postgres = [
    "pgvector>=0.2.3",
    "pg8000>=1.30.3",
    "psycopg2-binary>=2.9.10",
    "psycopg2>=2.9.10",
    "asyncpg>=0.30.0",
]
redis = ["redis>=6.2.0"]
pinecone = ["pinecone[asyncio]>=7.3.0"]
sqlite = ["aiosqlite>=0.21.0", "sqlite-vec>=0.1.7a2"]

# ====== Server ======
experimental = ["uvloop>=0.21.0", "granian[uvloop,reload]>=2.3.2", "google-cloud-profiler>=4.1.0"]
server = [
    "websockets",
    "fastapi>=0.115.6",
    "uvicorn>=0.24.0.post1",
]

# ====== LLM Providers ======
bedrock = [
    "boto3>=1.36.24",
    "aioboto3>=14.3.0",
]
google = ["google-genai>=1.15.0"]

# ====== Development ======
dev = [
    "pytest",
    "pytest-asyncio>=0.24.0",
    "pytest-order>=1.2.0",
    "pytest-mock>=3.14.0",
    "pytest-json-report>=1.5.0",
    "pexpect>=4.9.0",
    "black[jupyter]>=24.4.2",
    "pre-commit>=3.5.0",
    "pyright>=1.1.347",
    "autoflake>=2.3.0",
    "isort>=5.13.2",
    "ipykernel>=6.29.5",
    "ipdb>=0.13.13",
]

# ====== Other ======
cloud-tool-sandbox = ["e2b-code-interpreter>=1.0.3"]  # TODO: make this more explicitly e2b
modal = ["modal>=1.1.0"]
external-tools = [
    "docker>=7.1.0",
    "langchain>=0.3.7",
    "wikipedia>=1.4.0",
    "langchain-community>=0.3.7",
    "firecrawl-py>=2.8.0,<3.0.0",
    "turbopuffer>=0.5.17",
]
desktop = [
    "websockets",
    "fastapi>=0.115.6",
    "uvicorn>=0.24.0.post1",
    "docker>=7.1.0",
    "langchain>=0.3.7",
    "wikipedia>=1.4.0",
    "langchain-community>=0.3.7",
    "locust>=2.31.5",
    "sqlite-vec>=0.1.7a2",
    "pgvector>=0.2.3",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["letta"]

[tool.black]
line-length = 140
target-version = ['py310', 'py311', 'py312', 'py313']
extend-exclude = "examples/*"

[tool.isort]
profile = "black"
line_length = 140
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true

[tool.pytest.ini_options]
asyncio_mode = "auto"