Files
windmill/cli
Guilhem 2b4369d7cb fix: reject invalid AI agent tool names when the chat writes a flow (#10756)
* fix: reject invalid AI agent tool names when the chat writes a flow

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: address review nits on agent tool name validation

Share one AI-agent walk between the providerless-agent and invalid-tool-name
collectors, drop the unused validateToolName, and list every reserved id in the
tool naming rules.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: describe an agent tool's summary as the name the agent calls it by

The OpenFlow schema described `AgentTool.summary` as a short description of
the tool, which is the same schema the flow write tools hand the model, so it
pulled against the naming rules. Narrow those rules to flowmodule tools, since
websearch and mcp tool names are never regex-checked, and let `kind` take
either vocabulary its callers resolve.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix: name-check only the agent tools whose summary the agent calls

An mcp tool exposes the MCP server's own tool names and a websearch tool's
summary is a plain label, so neither reaches the worker's name check. Both
default to an empty summary in the editor, which the chat then refused to
write back.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-20 10:49:01 +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