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123 lines (114 loc) · 3.92 KB
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[project]
name = "ai-engineering-first-understanding"
version = "0.1.0"
description = "AI Engineering In Python - A Code-First Guide to RAG, Agents, Guardrails, And Evals"
readme = "README.md"
license = { text = "CC-BY-NC-SA-4.0" }
requires-python = ">=3.11"
authors = [
{ name = "AI Engineering Author" }
]
keywords = ["ai", "llm", "langchain", "langgraph", "gemini", "rag", "agents"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
# ==========================================================================
# LLM Frameworks
# ==========================================================================
"langchain>=1.0.0,<2.0.0",
"langchain-core>=1.0.0,<2.0.0",
"langchain-community>=0.3.0",
"langchain-google-genai>=2.0.0",
"langgraph>=1.0.0,<2.0.0",
"mcp>=1.25.0,<2.0.0",
# ==========================================================================
# Google AI
# ==========================================================================
"google-generativeai>=0.8.0",
# ==========================================================================
# Vector Stores & Embeddings
# ==========================================================================
"chromadb>=0.5.0",
"langchain-chroma>=0.2.0",
"faiss-cpu>=1.8.0",
# ==========================================================================
# Graph Databases
# ==========================================================================
"neo4j>=5.0.0",
# ==========================================================================
# Text Processing & Retrieval
# ==========================================================================
"langchain-text-splitters>=1.0.0,<2.0.0",
"rank-bm25>=0.2.2",
"sentence-transformers>=3.0.0",
# ==========================================================================
# PDF Processing
# ==========================================================================
"pymupdf>=1.24.0",
# ==========================================================================
# Evaluation Frameworks
# ==========================================================================
"deepeval>=1.0.0",
"ragas>=0.2.0",
# ==========================================================================
# Guardrails & Safety
# ==========================================================================
"guardrails-ai>=0.5.0",
# ==========================================================================
# Data Processing
# ==========================================================================
"pydantic>=2.0.0",
"numpy>=1.24.0",
"pandas>=2.0.0",
# ==========================================================================
# Utilities
# ==========================================================================
"python-dotenv>=1.0.0",
"httpx>=0.27.0",
"rich>=13.0.0",
"tiktoken>=0.7.0",
"google-search-results>=2.4.2",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"ruff>=0.5.0",
"mypy>=1.10.0",
]
notebook = [
"jupyter>=1.0.0",
"notebook>=7.0.0",
"ipykernel>=6.29.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["code"]
[dependency-groups]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"ruff>=0.5.0",
"mypy>=1.10.0",
]
[tool.ruff]
target-version = "py311"
line-length = 100
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]
ignore = ["E501"]
[tool.mypy]
python_version = "3.11"
strict = true
warn_return_any = true
warn_unused_ignores = true
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]