Ruben FiszelandClaude Opus 4.8
52fc7bf94c
* feat(sdk): allow overriding worker tag when running jobs Add an optional `tag` parameter to every job-running helper across the TypeScript, Python, PowerShell and Rust client SDKs. When set, it is forwarded as the `tag` query param on the `jobs/run/*` endpoints, which the backend already honors as a worker-tag override. The parameter is appended last and defaults to null/None everywhere, so existing positional and keyword callers are unaffected. Rust has no optional params, so its existing `run_script_async`/`run_script_sync` signatures are left untouched and new `*_with_tag` variants are added. Fixes WIN-2105 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * chore(system_prompts): regenerate SDK docs for tag param Regenerate auto-generated system prompts so the TypeScript/Python SDK references (and the script skills that embed them) reflect the new optional `tag` parameter on the job-running helpers. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(powershell-sdk): preserve original RunScriptAsync/RunFlowAsync arities PowerShell class methods dispatch by exact argument count and have no default parameter values, so adding `$Tag` in place dropped the old 4-arg `RunScriptAsync` / 3-arg `RunFlowAsync` overloads — existing direct class calls would fail with "Cannot find an overload". Re-add the original arities as thin overloads that forward `$null` for `$Tag`. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(system_prompts): generate prompts.d.ts to stop literal-content drift prompts.d.ts was a tracked declaration file with string-literal types baked in, but generate.py never regenerated it — only prompts.ts and the hand-written index.d.ts. So every prompt change (e.g. the new SDK `tag` param) left prompts.d.ts stale, and check-freshness didn't catch it because generate.py never wrote the file. Emit prompts.d.ts from generate.py as plain `export declare const X: string;` declarations. The contents now live only in prompts.ts, so the declaration file can't drift, and check-freshness covers it going forward. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
System Prompts
This directory contains the single source of truth for AI system prompts used by both the frontend copilot and CLI guidance.
Structure
system_prompts/
├── base/ # Core instruction templates (manually written)
│ ├── flow-base.md # Shared OpenFlow structure guidance
│ └── flow-cli.md # CLI/local-agent workflow guidance for write-flow skill
├── languages/ # Language-specific instructions (manually written)
└── auto-generated/ # Auto-generated files (DO NOT EDIT)
├── sdks/ # SDK documentation
├── cli/ # CLI command documentation
├── prompts.ts # TypeScript exports
└── index.ts # Helper functions
Usage
Regenerating Prompts
When SDK methods or the OpenFlow schema change, run:
python system_prompts/generate.py
To also refresh the standalone skills in a Claude plugin checkout:
python system_prompts/generate.py --plugin-dir ~/windmill-claude-plugin
--plugin-dir accepts:
- the
windmill-claude-pluginrepo root - a plugin root such as
plugins/windmill - a direct
skills/directory
To regenerate the public docs repo (consumed by context7):
python system_prompts/generate.py --context7-dir ~/windmill-cli-docs
--context7-dir writes a fully-rendered snapshot (AGENTS.md,
cli-commands.md, skills/<name>/SKILL.md, README.md, manifest.json
with the Windmill version) with all template placeholders resolved —
suitable for ingestion by docs aggregators. In CI this runs from
.github/workflows/publish-cli-docs.yml on every release tag. The
generator refuses to wipe the target directory unless it's empty or has
a context7 marker (context7.json, manifest.json, or a
windmill-cli-docs git remote), so a typo can't delete unrelated files.
This will:
- Parse TypeScript and Python SDK files to extract function signatures
- Parse the OpenFlow YAML schema
- Parse the CLI commands
- Assemble complete prompts from markdown files
- Generate TypeScript exports in
auto-generated/ - Optionally refresh plugin-ready standalone
SKILL.mdfiles in the target directory
Scope
These system prompts contain ONLY:
- How to write Windmill scripts (language syntax, conventions, SDK usage)
- How to structure Windmill flows (OpenFlow schema, module types, data flow)
- Resource type handling, S3 operations
They DO NOT contain:
- Tool usage instructions (edit_code, set_flow_json, etc.)
- IDE/editor specific commands
- Testing tool invocations
Tool instructions are added separately by the frontend and CLI.
CLI-only workflow instructions live in base/flow-cli.md and are included in the
generated write-flow skill for wmill init. They are intentionally excluded
from the frontend flow chat prompt.
Integration
Frontend
Uses Vite path alias $system_prompts pointing to auto-generated/:
import { FLOW_GUIDANCE } from "$system_prompts/flow";
import { getLangContext } from "$system_prompts/languages";
CLI
Generates /cli/src/guidance/skills.gen.ts with embedded skill content for wmill init.
Editing Guidelines
- Edit markdown files in
base/,languages/ - Never edit files in
auto-generated/directly - After editing, run
generate.pyto update exports