* feat(ai): add Azure AI Foundry as a native AI provider Adds `azure_foundry` as a new AIProvider variant wired through the AI chat (copilot) and AI agent flow steps. Foundry's chat completions API is OpenAI-compatible and uses Azure conventions (api-key header, Azure URL building), so it reuses the existing OpenAI-compatible query builder and proxy path via the shared `is_azure` helper (renamed from `is_azure_openai`). Backend (windmill-ai): - New `AzureFoundry` enum variant (serde `azure_foundry`) - `get_base_url` requires a resource base URL (like Azure OpenAI / Custom) - `is_azure()` covers Azure OpenAI + Foundry (api-key auth, Azure URL) - Added to OpenAI-compatible proxy support and HttpForward proxy mode - New proxy URL unit test Frontend (copilot): - New provider entry, completion config, model-token handling, streamed usage tracking, and reasoning registry (all model-id-gated, so a no-op for Foundry's non-OpenAI catalog) - Treated as a chat-completions provider, not the OpenAI Responses API OpenAPI: - `azure_foundry` added to AIProvider (openapi.yaml) and AIProviderKind (openflow.openapi.yaml); regenerated CLI guidance Note: the `azure_foundry` resource type (base_url + optional api_key) is hub-managed and must be published to the Windmill Hub separately. Fixes WIN-2122 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(ai): add azure_foundry to copilot flow Zod provider enum The tracked copilot flow schema (openFlowZod.gen.ts and its openFlow.json source) still carried the old AIProvider enum, so validateFlowModules / validateSpecialFlowModule rejected AI-generated flow edits that create or update an aiagent module with provider kind "azure_foundry" before they could be saved. Add the value to both (preserving the generated single-line format) and a regression test over the flow-module validation path. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * feat(ai): lead provider list with OpenAI, Anthropic, Google AI Reorder AI_PROVIDERS so the three primary direct providers come first. The AIProviderPicker renders the first three entries as quick-access buttons, so these become the defaults (previously OpenAI, Azure OpenAI, Azure Foundry); Azure OpenAI / Azure Foundry stay adjacent right after. No logic depends on provider order (only per-provider defaultModels[0] is read). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.
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.mdCLAUDE.md.agents/skills/*.claude/skills/*
Testing with a local windmill-yaml-validator
To test local changes to the validator before publishing, use npm link:
# In windmill-yaml-validator/
npm run build
npm link
# In cli/
npm link windmill-yaml-validator
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 |
