| [project] | |
| name = "ai-tutor-app" | |
| version = "0.1.0" | |
| description = "Add your description here" | |
| readme = "README.md" | |
| requires-python = ">=3.13" | |
| dependencies = [ | |
| "anthropic", | |
| "chromadb", | |
| "cohere", | |
| "fastapi", | |
| "google-genai", | |
| "hf-xet", | |
| "huggingface-hub", | |
| "langchain", | |
| "langchain-anthropic", | |
| "langchain-deepseek>=1.1.0", | |
| "langchain-google-genai", | |
| "langchain-openai", | |
| "llama-index", | |
| "nbconvert", | |
| "nbformat", | |
| "openai", | |
| "pydantic", | |
| "python-dotenv", | |
| "requests", | |
| "tiktoken", | |
| "uvicorn", | |
| ] | |
| [project.optional-dependencies] | |
| # Eval-only: the GraphRAG-vs-RAG experiment (F28). Pulls graphrag + lancedb/litellm/ | |
| # pandas, all imported lazily and only by the opt-in `graphrag` retriever — never on | |
| # the production path. Kept out of the default install so the Spaces image stays lean. | |
| # Reproduce the experiment with: uv sync --extra graphrag (see evals/graphrag.md). | |
| graphrag = ["graphrag>=3.1.0"] | |
| [dependency-groups] | |
| dev = [ | |
| "httpx", | |
| "ipykernel", | |
| "pre-commit", | |
| "pytest>=9.0.3", | |
| "ruff>=0.15.10", | |
| ] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["."] | |
| [tool.ruff] | |
| line-length = 88 | |
| target-version = "py313" | |