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https://github.com/windmill-labs/windmill.git
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Ruben Fiszel
e952298f84
* feat: replace the AI input filling toggle with an additional prompt for AI * feat: pass the additional prompt for AI to MCP clients and shared AI guidance * feat: shrink the run page AI card to a button and a collapsed prompt * fix: offer writers a way to add a prompt for AI from the run page
24 lines
1.8 KiB
Markdown
24 lines
1.8 KiB
Markdown
# Windmill Script Writing Guide
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## General Principles
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- A script's inputs are its parameters. Credentials and configuration come in as resource-typed parameters, never hard-coded or read from the environment; the language section below shows how that language declares parameters
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- Libraries are installed automatically - do not show installation instructions
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- In a language with an entrypoint function (TypeScript, Python, Go, Rust, PHP, R, …), name it `main` (`Main` in C#) and do not call it; in TypeScript it must be async. SQL, GraphQL, Bash, PowerShell and Ansible scripts have no `main`: their language section shows how they take arguments
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- Where the language has a Windmill client (`wmill`), use it to interact with the platform
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- A script's input schema may carry a top-level `prompt_for_ai` string: its author's instructions to an AI choosing the inputs. Follow it when you pick arguments to run that script, and keep it when you rewrite the schema
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## Return Values
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- A script can return any JSON-serializable value; a SQL script returns the rows its query produces
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- Return values become available to subsequent flow steps via `results.step_id`
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## Preprocessor Scripts
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Preprocessor scripts process raw trigger data from various sources (webhook, custom HTTP route, SQS, WebSocket, Kafka, NATS, MQTT, AMQP, Postgres, GCP Pub/Sub, Azure, or email) before passing it to the flow. This separates the trigger logic from the flow logic and keeps the auto-generated UI clean.
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A preprocessor is written in TypeScript or Python: its function is named `preprocessor` instead of `main`, and it receives a single parameter called `event` (the language section gives its type).
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The returned object determines the parameter values passed to the flow.
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e.g., `{ b: 1, a: 2 }` calls the flow with `a = 2` and `b = 1`, assuming the flow has two inputs called `a` and `b`.
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