167 lines
3.9 KiB
TOML
167 lines
3.9 KiB
TOML
[project]
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name = "letta"
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version = "0.11.6"
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description = "Create LLM agents with long-term memory and custom tools"
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authors = [
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{name = "Letta Team", email = "contact@letta.com"},
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]
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license = {text = "Apache License"}
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readme = "README.md"
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requires-python = "<3.14,>=3.11"
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dependencies = [
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"typer>=0.15.2",
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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[jupyter]>=24.2.0",
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"setuptools>=70",
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"prettytable>=3.9.0",
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"docstring-parser>=0.16,<0.17",
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"httpx>=0.28.0",
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"numpy>=2.1.0",
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"demjson3>=3.0.6",
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"pyyaml>=6.0.1",
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"sqlalchemy-json>=0.7.0",
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"pydantic>=2.10.6",
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"html2text>=2020.1.16",
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"sqlalchemy[asyncio]>=2.0.41",
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"python-box>=7.1.1",
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"sqlmodel>=0.0.16",
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"python-multipart>=0.0.19",
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"sqlalchemy-utils>=0.41.2",
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"pydantic-settings>=2.2.1",
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"httpx-sse>=0.4.0",
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"nltk>=3.8.1",
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"jinja2>=3.1.5",
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"composio-core>=0.7.7",
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"alembic>=1.13.3",
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"pyhumps>=3.8.0",
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"pathvalidate>=3.2.1",
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"sentry-sdk[fastapi]==2.19.1",
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"rich>=13.9.4",
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"brotli>=1.1.0",
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"grpcio>=1.68.1",
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"grpcio-tools>=1.68.1",
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"llama-index>=0.12.2",
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"llama-index-embeddings-openai>=0.3.1",
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"anthropic>=0.49.0",
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"letta_client>=0.1.285",
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"openai>=1.99.9",
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"opentelemetry-api==1.30.0",
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"opentelemetry-sdk==1.30.0",
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"opentelemetry-instrumentation-requests==0.51b0",
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"opentelemetry-instrumentation-sqlalchemy==0.51b0",
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"opentelemetry-exporter-otlp==1.30.0",
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"faker>=36.1.0",
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"colorama>=0.4.6",
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"marshmallow-sqlalchemy>=1.4.1",
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"datamodel-code-generator[http]>=0.25.0",
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"mcp[cli]>=1.9.4",
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"firecrawl-py>=2.8.0,<3.0.0",
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"apscheduler>=3.11.0",
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"aiomultiprocess>=0.9.1",
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"matplotlib>=3.10.1",
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"tavily-python>=0.7.2",
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"mistralai>=1.8.1",
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"structlog>=25.4.0",
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"certifi>=2025.6.15",
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"markitdown[docx,pdf,pptx]>=0.1.2",
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"orjson>=3.11.1",
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]
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[project.scripts]
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letta = "letta.main:app"
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[project.optional-dependencies]
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# ====== Databases ======
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postgres = [
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"pgvector>=0.2.3",
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"pg8000>=1.30.3",
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"psycopg2-binary>=2.9.10",
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"psycopg2>=2.9.10",
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"asyncpg>=0.30.0",
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]
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redis = ["redis>=6.2.0"]
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pinecone = ["pinecone[asyncio]>=7.3.0"]
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sqlite = ["aiosqlite>=0.21.0", "sqlite-vec>=0.1.7a2"]
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# ====== Server ======
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experimental = ["uvloop>=0.21.0", "granian[uvloop,reload]>=2.3.2", "google-cloud-profiler>=4.1.0"]
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server = [
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"websockets",
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"fastapi>=0.115.6",
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"uvicorn>=0.24.0.post1",
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]
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# ====== LLM Providers ======
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bedrock = [
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"boto3>=1.36.24",
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"aioboto3>=14.3.0",
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]
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google = ["google-genai>=1.15.0"]
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# ====== Development ======
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dev = [
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"pytest",
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"pytest-asyncio>=0.24.0",
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"pytest-order>=1.2.0",
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"pytest-mock>=3.14.0",
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"pytest-json-report>=1.5.0",
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"pexpect>=4.9.0",
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"black[jupyter]>=24.4.2",
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"pre-commit>=3.5.0",
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"pyright>=1.1.347",
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"autoflake>=2.3.0",
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"isort>=5.13.2",
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"ipykernel>=6.29.5",
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"ipdb>=0.13.13",
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]
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# ====== Other ======
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cloud-tool-sandbox = ["e2b-code-interpreter>=1.0.3"] # TODO: make this more explicitly e2b
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modal = ["modal>=1.1.0"]
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external-tools = [
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"docker>=7.1.0",
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"langchain>=0.3.7",
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"wikipedia>=1.4.0",
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"langchain-community>=0.3.7",
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"firecrawl-py>=2.8.0,<3.0.0",
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"turbopuffer>=0.5.17",
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]
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desktop = [
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"websockets",
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"fastapi>=0.115.6",
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"uvicorn>=0.24.0.post1",
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"docker>=7.1.0",
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"langchain>=0.3.7",
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"wikipedia>=1.4.0",
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"langchain-community>=0.3.7",
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"locust>=2.31.5",
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"aiosqlite>=0.21.0",
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"sqlite-vec>=0.1.7a2",
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"pgvector>=0.2.3",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["letta"]
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[tool.black]
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line-length = 140
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target-version = ['py310', 'py311', 'py312', 'py313']
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extend-exclude = "examples/*"
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[tool.isort]
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profile = "black"
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line_length = 140
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multi_line_output = 3
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include_trailing_comma = true
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force_grid_wrap = 0
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use_parentheses = true
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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