loom-data 0.1.13

Python client and CLI for Loom workspace data and sync workflows.

loom-data

loom-data publishes the loom Python package together with the loomcli console command.

Install

uv add loom-data
uv run loomcli --help

Initialize a project

Recommended fast path for AI-assisted onboarding:

uv run loomcli init --agent codex

Interactive setup:

uv run loomcli init

Both forms create or reuse:

loom/
  <workspace>/
  .loom/
raw_data/

Fast init also installs the tutorial dataset under raw_data/cost.

Recommended workflow

1. Put source data into any directory with loom.md and CSV files.
2. Ask the agent to scan it in chat with loom scan <path> [to <workspace>].
3. Let the agent read loom/ before touching raw files.
4. Use loomcli get <workspace/path/to/file> only for exact raw files that are needed.
5. Use loomcli confirm, loomcli push, and loomcli pull for explicit terminal operations.

Chat examples

loom scan raw_data/energy to energy
loom ask OCGT 的成本是多少
loom OCGT 的成本是多少

loom scan should lead the agent to run loomcli scan-index and then continue curating cards in chat. loom ask and bare loom <问题> should lead the agent to inspect loom/ first rather than run a question-answering script.

CLI examples

uv run loomcli scan-index raw_data/energy to energy
uv run loomcli confirm energy
uv run loomcli push energy
uv run loomcli pull energy
uv run loomcli pull-raw energy
uv run loomcli get energy/technology-data/costs.csv
uv run loomcli set-api https://loom-api-free.onrender.com

Python API

import loom

local_path = loom.get("energy/technology-data/costs.csv")
print(local_path)

loom.get(...) prefers local cache and fetches only the file you ask for.

Notes

• docs/reference/loom-reference.md is the repository's canonical behavior reference.
• loom-data is the package name.
• loomcli is the public CLI command.
• import loom is the Python API.
• Use loomcli scan-index both for explicit terminal scans and for the agent's internal scan path.