pyproject.toml

[project]
name = "react_with_database_memory"
version = "0.1.0"
description = "A LangGraph ReAct agent with PostgreSQL-based conversation memory. Uses OpenAI-compatible APIs for LLM access and persistent thread-based chat history."
authors = [{ name = "Your Name", email = "you@example.com" }]
license = { text = "MIT" }
readme = "README.md"
requires-python = ">=3.12,<3.14"
dependencies = [
    "fastapi>=0.135.1",
    "uvicorn[standard]>=0.41.0",
    "pydantic>=2.12.5",
    "langchain>=1.2.10",
    "langchain-core>=1.2.15",
    "langchain-openai>=1.1.10",
    "langgraph>=1.0.9",
    "langgraph-prebuilt>=1.0.0",
    "langgraph-checkpoint-postgres>=3.0.0",
    "llama-stack>=0.5.0",
    "llama-stack-client>=0.5.0",
    "psycopg[binary,pool]>=3.2.9",
    "openai>=2.21.0",
    "python-dotenv>=1.2.1",
    "pymilvus==2.5.7", # <-- Downgraded to the proven safe version
    "milvus-lite>=2.4.0", # <-- Matches the safe PyMilvus
    "setuptools>=80.9.0,<82.0.0",
    "typing-extensions>=4.15.0",
    "requests>=2.31.0",
    "chardet>=7.1.0",
    "pypdf>=6.9.0",
    "flask>=3.1.0",
]

[project.optional-dependencies]
tracing = [
    "mlflow>=3.10.0",
]
dev = [
    "pytest>=9.0.2",
]

[tool.setuptools.packages.find]
where = ["src"]

[build-system]
requires = ["setuptools>=80.9.0"]
build-backend = "setuptools.build_meta"