Files
windmill/cli
Guilhem LemouelandClaude Opus 5 3678c8b51f fix(ai-chat): tell a failed turn from a recovered one, and a model that cannot think from one we cannot read
- `turnFailed` marked a turn failed on any unsuccessful tool row, but a failing
  tool is handed back to the agent, which routinely recovers and answers. That
  put a Retry on turns that succeeded — and retrying re-runs the whole flow,
  side effects included. It now reads the turn's terminal row, and reports
  nothing while the turn is still streaming. `error` on a user row means what it
  means in the copilot: the request never produced an answer.
- The reasoning registry answered `supported: false` for every model on a
  provider family it has no rules for, so `customai` — which fronts any
  OpenAI-compatible endpoint — got "Not supported by this model" stated as a
  fact, its effort input hidden from the modal, and its stored value cleared to
  `''` on every model pick, shadowing the author's schema default for good.
  `ReasoningCapability` now carries `known`, and the composer neither claims
  anything nor touches the value where it cannot read the model.
- `flow-base.md`: a static provider field is not "shown read-only"; the composer
  draws no control for it at all.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QN7VboDEm9HAB1t4sMxMdE
2026-09-11 10:08:02 +02:00
..
2022-11-01 15:53:28 +01:00
2023-02-03 19:49:46 +01:00
2026-02-23 09:09:16 +00:00
2025-12-26 20:32:42 +00:00

Windmill CLI

A simple CLI allowing interactions with windmill from the command line.

You can find more information in Windmill Docs

Installation

Install the wmill CLI tool using npm install -g windmill-cli.

Update to the latest version using wmill upgrade.

Workspaces

To get started run wmill workspace add or use the instructions from the workspace settings.

Running Flows & Scripts

Run a script or flow using wmill flow/script run u/username/path/to/script and pass any inputs using --data + Inputs specified as a JSON string or a file using @ <filename> or stdin using @-.

Curl-style syntax using -d @- for stdin or -d @<filename> is also supported.

Flow Steps and Logs will be streamed during execution automatically.

CLI input example

Pushing Resources, Scripts & More

The CLI can push specifications to a windmill instance. See the examples/ folder for formats.

Switch to a different workspace

wmill workspace switch <workspace_name>

Sync a workspace

Pull

wmill sync pull

Push

wmill sync push

We recommend using the --yaml option to use yaml instead of json as the encoding format. Yaml will be made the default soon.

Pushing individual files

You can push individual resources using wmill <type> push <file_name> \<remote_name\>. This does not require a special folder layout or file name, as this is given at runtime.

Listing

All commands support listing by just not providing a subcommand, ie wmill script will result in a list of scripts. Some allow additional options, learn about this by specifying --help.

User Management

You can add & remove users via wmill user add/remove, and list them using wmill user

Pulling

You can pull the entire workspace using wmill pull

Completion

The CLI comes with completions out of the box via wmill completions <shell>. (Via cliffy)

Bash

To enable bash completions add the following line to your ~/.bashrc:

source <(wmill completions bash)

Fish

To enable fish completions add the following line to your ~/.config/fish/config.fish:

source (wmill completions fish | psub)

Zsh

To enable zsh completions add the following line to your ~/.zshrc:

source <(wmill completions zsh)

Development

AI Guidance Variants

wmill init can now materialize alternate AI guidance bundles without changing the generated defaults in the repo, but this is exposed as internal env-var overrides rather than public CLI flags.

Examples:

WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills wmill init --use-default
WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills WMILL_INIT_AI_AGENTS_SOURCE=/path/to/AGENTS.md wmill init --use-default
WMILL_INIT_AI_SKILLS_SOURCE=/path/to/custom/skills WMILL_INIT_AI_CLAUDE_SOURCE=/path/to/CLAUDE.md wmill init --use-default

This is the same guidance-writing path used by the benchmark CLI under ai_evals/, so the benchmark harness and wmill init now generate the same project guidance shape:

  • AGENTS.md
  • CLAUDE.md
  • .agents/skills/*
  • .claude/skills/*

windmill-yaml-validator

wmill lint imports the sibling windmill-yaml-validator package from source rather than from npm, so its schemas always match the OpenAPI specs of the current checkout. bun install regenerates them through this package's preinstall script; run it again after editing openflow.openapi.yaml or backend/windmill-api/openapi.yaml:

npm --prefix ../windmill-yaml-validator run gen

Running Tests

Prerequisites:

  • PostgreSQL running locally (default: postgres://postgres:changeme@localhost:5432)
  • Rust toolchain installed

Run tests locally (full features):

bun test test/

Run tests in CI mode (minimal features, skips EE tests):

CI_MINIMAL_FEATURES=true bun test test/
Variable Description
CI_MINIMAL_FEATURES Set to true to skip EE-dependent tests
DATABASE_URL PostgreSQL connection string
EE_LICENSE_KEY Enterprise license key for EE features