When updating project configuration (e.g., pyproject.toml), ensure dependency declarations match how packages are actually used: align requires-python with dependency-supported Python versions, keep dev-only tooling in dev-dependencies, and use extras for optional features instead of adding new required runtime deps. Also, set minimum versions based on the concrete APIs/helpers you rely on.

Apply this checklist:

• Python compatibility: if any dependency requires Python>=X, set requires-python to at least >=X (don’t claim broader support than your deps allow).
• Dependency grouping: packages used only for tests/build/tooling go in dev-dependencies, not dependencies.
• Optional features via extras: move feature-specific packages to an extra (e.g., openai[cli]) and load them safely at the call site.
• Minimum versions: bump >= versions when the features you use are introduced/changed in newer upstream releases.

Example (optional CLI dependency):

# pyproject.toml
[project.optional-dependencies]
cli = ["argcomplete>=1.12.0"]

# _cli.py
try:
    import argcomplete  # type: ignore
except ImportError:
    argcomplete = None

if argcomplete is not None:
    # use argcomplete
    ...
else:
    # either disable CLI niceties or show a message
    ...