uv-add-complete 0.1.7

Fast dependency suggestions and shell completion for uv add

uv-add-complete

Smart dependency completion for uv add.

uv-add-complete helps you discover and add Python packages while you type. It adds shell completions for uv add, shows package suggestions from an offline lookup catalog, and includes useful metadata such as category and description.

Why

uv is fast, but remembering exact package names is still friction:

uv add fast<Tab> py<Tab>

uv-add-complete turns that moment into a guided package search. It is designed for modern Python projects: web apps, CLIs, data tooling, AI agents, LangChain integrations, ML libraries, vector databases, testing tools, and more.

Features

• Completion support for uv add and uvpy add.
• Offline package lookup catalog bundled with the package.
• 1,500+ curated package records generated from PyPI metadata.
• Includes modern AI/ML packages such as openai, anthropic, pydantic-ai, langchain, langgraph, langsmith, manim, and many langchain-* integrations.
• Category and description metadata for richer terminal suggestions.
• Auto-detects PowerShell, Bash, Zsh, and Fish during setup.
• Optional PowerShell Tab UI with a table-style package picker.

Install

Global tool setup

Use this when you want completion available across projects:

uv tool install "uv-add-complete>=0.1.7"
uvpy init --yes

Restart your shell, then try:

uv add fast<Tab> py<Tab>

Project-local setup

Use this when you only want it inside one project:

uv add "uv-add-complete>=0.1.7"
uv run uvpy init --yes

When installed locally, run commands through uv run:

uv run uvpy --version
uv run uvpy add py --list

Shell setup

uvpy init auto-detects your shell:

uvpy init --yes

If detection is wrong, pass the shell explicitly:

uvpy init --shell powershell --yes
uvpy init --shell pwsh --yes
uvpy init --shell zsh --yes
uvpy init --shell bash --yes
uvpy init --shell fish --yes

PowerShell users can opt into the experimental table-style Tab picker:

uvpy init --yes --tab-ui

Usage

Show matching packages with metadata:

uvpy add py --list

Return package names for shell integrations:

uvpy _complete add fast --format names

Return structured JSON:

uvpy _complete add fast --format json

List the bundled catalog:

uv-aide packages

Catalog

The bundled catalog is stored at:

src/uv_aide/data/packages.json

Each record uses this schema:

{
  "name": "fastapi",
  "summary": "FastAPI framework, high performance, easy to learn, fast to code, ready for production",
  "category": "web",
  "project_url": "https://pypi.org/project/fastapi/"
}

The catalog is built from PyPI project metadata and curated categories. It keeps completion fast because shell completion can use local data instead of making a network request on every Tab press.

Development

uv sync
uv run pytest
uv run ruff check .

Useful local smoke checks:

uv run uvpy add lang --list
uv run uvpy init --shell powershell --dry-run
uv run uvpy init --shell zsh --dry-run
uv run uvpy _complete add langchain-open --format names

Release

This project publishes to PyPI through GitHub Actions and PyPI Trusted Publishing. PyPI versions are immutable, so every release must use a fresh version number.

For 0.1.7:

uv version 0.1.7
git add .
git commit -m "feat(catalog): expand package lookup database"
git push
gh release create v0.1.7 --title "v0.1.7" --notes "Fix README screenshot and smoke workflow"

Links

• PyPI package
• GitHub repository
• Issues

License

MIT