windmill/system_prompts/auto-generated/prompts.ts

// Auto-generated by generate.py - DO NOT EDIT

export const SCRIPT_BASE = `# Windmill Script Writing Guide

## General Principles

- Scripts must export a main function (do not call it)
- Libraries are installed automatically - do not show installation instructions
- Credentials and configuration are stored in resources and passed as parameters
- The windmill client (\`wmill\`) provides APIs for interacting with the platform

## Function Naming

- Main function: \`main\` (or \`preprocessor\` for preprocessor scripts)
- Must be async for TypeScript variants

## Return Values

- Scripts can return any JSON-serializable value
- Return values become available to subsequent flow steps via \`results.step_id\`

## Preprocessor Scripts

Preprocessor scripts process raw trigger data from various sources (webhook, custom HTTP route, SQS, WebSocket, Kafka, NATS, MQTT, Postgres, or email) before passing it to the flow. This separates the trigger logic from the flow logic and keeps the auto-generated UI clean.

The returned object determines the parameter values passed to the flow.
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\`.

The preprocessor receives a single parameter called \`event\`.
`;

export const FLOW_BASE = `# Windmill Flow Building Guide

## CLI Commands

Create a folder ending with \`__flow\` and add a \`flow.yaml\` file with the flow definition.
For rawscript modules, use \`!inline path/to/script.ts\` for the content key. Inline script files should NOT include \`.inline_script.\` in their names (e.g. use \`a.ts\`, not \`a.inline_script.ts\`).
After writing, tell the user they can run:
- \`wmill flow generate-locks <path_to_flow_folder> --yes\` - Generate lock files for the specific flow you modified (e.g. \`wmill flow generate-locks f/my_folder/my_flow__flow --yes\`)
- \`wmill sync push\` - Deploy to Windmill

Do NOT run these commands yourself. Instead, inform the user that they should run them.

## OpenFlow Schema

The OpenFlow schema (openflow.openapi.yaml) is the source of truth for flow structure. Refer to OPENFLOW_SCHEMA for the complete type definitions.

## Reserved Module IDs

- \`failure\` - Reserved for failure handler module
- \`preprocessor\` - Reserved for preprocessor module
- \`Input\` - Reserved for flow input reference

## Module ID Rules

- Must be unique across the entire flow
- Use underscores, not spaces (e.g., \`fetch_data\` not \`fetch data\`)
- Use descriptive names that reflect the step's purpose

## Common Mistakes to Avoid

- Missing \`input_transforms\` - Rawscript parameters won't receive values without them
- Referencing future steps - \`results.step_id\` only works for steps that execute before the current one
- Duplicate module IDs - Each module ID must be unique in the flow

## Data Flow Between Steps

- \`flow_input.property\` - Access flow input parameters
- \`results.step_id\` - Access output from a previous step
- \`results.step_id.property\` - Access specific property from previous step output
- \`flow_input.iter.value\` - Current item when inside a for-loop
- \`flow_input.iter.index\` - Current index when inside a for-loop

## Input Transforms

Every rawscript module needs \`input_transforms\` to map function parameters to values:

Static transform (fixed value):
{"param_name": {"type": "static", "value": "fixed_string"}}

JavaScript transform (dynamic expression):
{"param_name": {"type": "javascript", "expr": "results.previous_step.data"}}

## Resource References

- For flow inputs: Use type \`"object"\` with format \`"resource-{type}"\` (e.g., \`"resource-postgresql"\`)
- For step inputs: Use static value \`"$res:path/to/resource"\`

## Failure Handler

Executes when any step fails. Has access to error details:

- \`error.message\` - Error message
- \`error.step_id\` - ID of failed step
- \`error.name\` - Error name
- \`error.stack\` - Stack trace

## S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations.

To accept an S3 object as flow input:

\`\`\`json
{
  "type": "object",
  "properties": {
    "file": {
      "type": "object",
      "format": "resource-s3_object",
      "description": "File to process"
    }
  }
}
\`\`\`

## Using Resources in Flows

On Windmill, credentials and configuration are stored in resources. Resource types define the format of the resource.

### As Flow Input

In the flow schema, set the property type to \`"object"\` with format \`"resource-{type}"\`:

\`\`\`json
{
  "type": "object",
  "properties": {
    "database": {
      "type": "object",
      "format": "resource-postgresql",
      "description": "Database connection"
    }
  }
}
\`\`\`

### As Step Input (Static Reference)

Reference a specific resource using \`$res:\` prefix:

\`\`\`json
{
  "database": {
    "type": "static",
    "value": "$res:f/folder/my_database"
  }
}
\`\`\`
`;

export const SDK_TYPESCRIPT = `# TypeScript SDK (windmill-client)

Import: import * as wmill from 'windmill-client'

/**
 * Initialize the Windmill client with authentication token and base URL
 * @param token - Authentication token (defaults to WM_TOKEN env variable)
 * @param baseUrl - API base URL (defaults to BASE_INTERNAL_URL or BASE_URL env variable)
 */
setClient(token?: string, baseUrl?: string): void

/**
 * Create a client configuration from env variables
 * @returns client configuration
 */
getWorkspace(): string

/**
 * Get a resource value by path
 * @param path path of the resource,  default to internal state path
 * @param undefinedIfEmpty if the resource does not exist, return undefined instead of throwing an error
 * @returns resource value
 */
async getResource(path?: string, undefinedIfEmpty?: boolean): Promise<any>

/**
 * Get the true root job id
 * @param jobId job id to get the root job id from (default to current job)
 * @returns root job id
 */
async getRootJobId(jobId?: string): Promise<string>

/**
 * @deprecated Use runScriptByPath or runScriptByHash instead
 */
async runScript(path: string | null = null, hash_: string | null = null, args: Record<string, any> | null = null, verbose: boolean = false): Promise<any>

/**
 * Run a script synchronously by its path and wait for the result
 * @param path - Script path in Windmill
 * @param args - Arguments to pass to the script
 * @param verbose - Enable verbose logging
 * @returns Script execution result
 */
async runScriptByPath(path: string, args: Record<string, any> | null = null, verbose: boolean = false): Promise<any>

/**
 * Run a script synchronously by its hash and wait for the result
 * @param hash_ - Script hash in Windmill
 * @param args - Arguments to pass to the script
 * @param verbose - Enable verbose logging
 * @returns Script execution result
 */
async runScriptByHash(hash_: string, args: Record<string, any> | null = null, verbose: boolean = false): Promise<any>

/**
 * Append a text to the result stream
 * @param text text to append to the result stream
 */
appendToResultStream(text: string): void

/**
 * Stream to the result stream
 * @param stream stream to stream to the result stream
 */
async streamResult(stream: AsyncIterable<string>): Promise<void>

/**
 * Run a flow synchronously by its path and wait for the result
 * @param path - Flow path in Windmill
 * @param args - Arguments to pass to the flow
 * @param verbose - Enable verbose logging
 * @returns Flow execution result
 */
async runFlow(path: string | null = null, args: Record<string, any> | null = null, verbose: boolean = false): Promise<any>

/**
 * Wait for a job to complete and return its result
 * @param jobId - ID of the job to wait for
 * @param verbose - Enable verbose logging
 * @returns Job result when completed
 */
async waitJob(jobId: string, verbose: boolean = false): Promise<any>

/**
 * Get the result of a completed job
 * @param jobId - ID of the completed job
 * @returns Job result
 */
async getResult(jobId: string): Promise<any>

/**
 * Get the result of a job if completed, or its current status
 * @param jobId - ID of the job
 * @returns Object with started, completed, success, and result properties
 */
async getResultMaybe(jobId: string): Promise<any>

/**
 * @deprecated Use runScriptByPathAsync or runScriptByHashAsync instead
 */
async runScriptAsync(path: string | null, hash_: string | null, args: Record<string, any> | null, scheduledInSeconds: number | null = null): Promise<string>

/**
 * Run a script asynchronously by its path
 * @param path - Script path in Windmill
 * @param args - Arguments to pass to the script
 * @param scheduledInSeconds - Schedule execution for a future time (in seconds)
 * @returns Job ID of the created job
 */
async runScriptByPathAsync(path: string, args: Record<string, any> | null = null, scheduledInSeconds: number | null = null): Promise<string>

/**
 * Run a script asynchronously by its hash
 * @param hash_ - Script hash in Windmill
 * @param args - Arguments to pass to the script
 * @param scheduledInSeconds - Schedule execution for a future time (in seconds)
 * @returns Job ID of the created job
 */
async runScriptByHashAsync(hash_: string, args: Record<string, any> | null = null, scheduledInSeconds: number | null = null): Promise<string>

/**
 * Run a flow asynchronously by its path
 * @param path - Flow path in Windmill
 * @param args - Arguments to pass to the flow
 * @param scheduledInSeconds - Schedule execution for a future time (in seconds)
 * @param doNotTrackInParent - If false, tracks state in parent job (only use when fully awaiting the job)
 * @returns Job ID of the created job
 */
async runFlowAsync(path: string | null, args: Record<string, any> | null, scheduledInSeconds: number | null = null, // can only be set to false if this the job will be fully await and not concurrent with any other job // as otherwise the child flow and its own child will store their state in the parent job which will // lead to incorrectness and failures doNotTrackInParent: boolean = true): Promise<string>

/**
 * Resolve a resource value in case the default value was picked because the input payload was undefined
 * @param obj resource value or path of the resource under the format \`$res:path\`
 * @returns resource value
 */
async resolveDefaultResource(obj: any): Promise<any>

/**
 * Get the state file path from environment variables
 * @returns State path string
 */
getStatePath(): string

/**
 * Set a resource value by path
 * @param path path of the resource to set, default to state path
 * @param value new value of the resource to set
 * @param initializeToTypeIfNotExist if the resource does not exist, initialize it with this type
 */
async setResource(value: any, path?: string, initializeToTypeIfNotExist?: string): Promise<void>

/**
 * Set the state
 * @param state state to set
 * @deprecated use setState instead
 */
async setInternalState(state: any): Promise<void>

/**
 * Set the state
 * @param state state to set
 * @param path Optional state resource path override. Defaults to \`getStatePath()\`.
 */
async setState(state: any, path?: string): Promise<void>

/**
 * Set the progress
 * Progress cannot go back and limited to 0% to 99% range
 * @param percent Progress to set in %
 * @param jobId? Job to set progress for
 */
async setProgress(percent: number, jobId?: any): Promise<void>

/**
 * Get the progress
 * @param jobId? Job to get progress from
 * @returns Optional clamped between 0 and 100 progress value
 */
async getProgress(jobId?: any): Promise<number | null>

/**
 * Set a flow user state
 * @param key key of the state
 * @param value value of the state
 */
async setFlowUserState(key: string, value: any, errorIfNotPossible?: boolean): Promise<void>

/**
 * Get a flow user state
 * @param path path of the variable
 */
async getFlowUserState(key: string, errorIfNotPossible?: boolean): Promise<any>

/**
 * Get the internal state
 * @deprecated use getState instead
 */
async getInternalState(): Promise<any>

/**
 * Get the state shared across executions
 * @param path Optional state resource path override. Defaults to \`getStatePath()\`.
 */
async getState(path?: string): Promise<any>

/**
 * Get a variable by path
 * @param path path of the variable
 * @returns variable value
 */
async getVariable(path: string): Promise<string>

/**
 * Set a variable by path, create if not exist
 * @param path path of the variable
 * @param value value of the variable
 * @param isSecretIfNotExist if the variable does not exist, create it as secret or not (default: false)
 * @param descriptionIfNotExist if the variable does not exist, create it with this description (default: "")
 */
async setVariable(path: string, value: string, isSecretIfNotExist?: boolean, descriptionIfNotExist?: string): Promise<void>

/**
 * Build a PostgreSQL connection URL from a database resource
 * @param path - Path to the database resource
 * @returns PostgreSQL connection URL string
 */
async databaseUrlFromResource(path: string): Promise<string>

async polarsConnectionSettings(s3_resource_path: string | undefined): Promise<any>

async duckdbConnectionSettings(s3_resource_path: string | undefined): Promise<any>

/**
 * Get S3 client settings from a resource or workspace default
 * @param s3_resource_path - Path to S3 resource (uses workspace default if undefined)
 * @returns S3 client configuration settings
 */
async denoS3LightClientSettings(s3_resource_path: string | undefined): Promise<DenoS3LightClientSettings>

/**
 * Load the content of a file stored in S3. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
 * 
 * \`\`\`typescript
 * let fileContent = await wmill.loadS3FileContent(inputFile)
 * // if the file is a raw text file, it can be decoded and printed directly:
 * const text = new TextDecoder().decode(fileContentStream)
 * console.log(text);
 * \`\`\`
 */
async loadS3File(s3object: S3Object, s3ResourcePath: string | undefined = undefined): Promise<Uint8Array | undefined>

/**
 * Load the content of a file stored in S3 as a stream. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
 * 
 * \`\`\`typescript
 * let fileContentBlob = await wmill.loadS3FileStream(inputFile)
 * // if the content is plain text, the blob can be read directly:
 * console.log(await fileContentBlob.text());
 * \`\`\`
 */
async loadS3FileStream(s3object: S3Object, s3ResourcePath: string | undefined = undefined): Promise<Blob | undefined>

/**
 * Persist a file to the S3 bucket. If the s3ResourcePath is undefined, it will default to the workspace S3 resource.
 * 
 * \`\`\`typescript
 * const s3object = await writeS3File(s3Object, "Hello Windmill!")
 * const fileContentAsUtf8Str = (await s3object.toArray()).toString('utf-8')
 * console.log(fileContentAsUtf8Str)
 * \`\`\`
 */
async writeS3File(s3object: S3Object | undefined, fileContent: string | Blob, s3ResourcePath: string | undefined = undefined, contentType: string | undefined = undefined, contentDisposition: string | undefined = undefined): Promise<S3Object>

/**
 * Sign S3 objects to be used by anonymous users in public apps
 * @param s3objects s3 objects to sign
 * @returns signed s3 objects
 */
async signS3Objects(s3objects: S3Object[]): Promise<S3Object[]>

/**
 * Sign S3 object to be used by anonymous users in public apps
 * @param s3object s3 object to sign
 * @returns signed s3 object
 */
async signS3Object(s3object: S3Object): Promise<S3Object>

/**
 * Generate a presigned public URL for an array of S3 objects.
 * If an S3 object is not signed yet, it will be signed first.
 * @param s3Objects s3 objects to sign
 * @returns list of signed public URLs
 */
async getPresignedS3PublicUrls(s3Objects: S3Object[], { baseUrl }: { baseUrl?: string } = {}): Promise<string[]>

/**
 * Generate a presigned public URL for an S3 object. If the S3 object is not signed yet, it will be signed first.
 * @param s3Object s3 object to sign
 * @returns signed public URL
 */
async getPresignedS3PublicUrl(s3Objects: S3Object, { baseUrl }: { baseUrl?: string } = {}): Promise<string>

/**
 * Get URLs needed for resuming a flow after this step
 * @param approver approver name
 * @param flowLevel if true, generate resume URLs for the parent flow instead of the specific step.
 *                  This allows pre-approvals that can be consumed by any later suspend step in the same flow.
 * @returns approval page UI URL, resume and cancel API URLs for resuming the flow
 */
async getResumeUrls(approver?: string, flowLevel?: boolean): Promise<{
  approvalPage: string;
  resume: string;
  cancel: string;
}>

/**
 * @deprecated use getResumeUrls instead
 */
getResumeEndpoints(approver?: string): Promise<{
  approvalPage: string;
  resume: string;
  cancel: string;
}>

/**
 * Get an OIDC jwt token for auth to external services (e.g: Vault, AWS) (ee only)
 * @param audience audience of the token
 * @param expiresIn Optional number of seconds until the token expires
 * @returns jwt token
 */
async getIdToken(audience: string, expiresIn?: number): Promise<string>

/**
 * Convert a base64-encoded string to Uint8Array
 * @param data - Base64-encoded string
 * @returns Decoded Uint8Array
 */
base64ToUint8Array(data: string): Uint8Array

/**
 * Convert a Uint8Array to base64-encoded string
 * @param arrayBuffer - Uint8Array to encode
 * @returns Base64-encoded string
 */
uint8ArrayToBase64(arrayBuffer: Uint8Array): string

/**
 * Get email from workspace username
 * This method is particularly useful for apps that require the email address of the viewer.
 * Indeed, in the viewer context, WM_USERNAME is set to the username of the viewer but WM_EMAIL is set to the email of the creator of the app.
 * @param username
 * @returns email address
 */
async usernameToEmail(username: string): Promise<string>

/**
 * Sends an interactive approval request via Slack, allowing optional customization of the message, approver, and form fields.
 * 
 * **[Enterprise Edition Only]** To include form fields in the Slack approval request, go to **Advanced -> Suspend -> Form**
 * and define a form. Learn more at [Windmill Documentation](https://www.windmill.dev/docs/flows/flow_approval#form).
 * 
 * @param {Object} options - The configuration options for the Slack approval request.
 * @param {string} options.slackResourcePath - The path to the Slack resource in Windmill.
 * @param {string} options.channelId - The Slack channel ID where the approval request will be sent.
 * @param {string} [options.message] - Optional custom message to include in the Slack approval request.
 * @param {string} [options.approver] - Optional user ID or name of the approver for the request.
 * @param {DefaultArgs} [options.defaultArgsJson] - Optional object defining or overriding the default arguments to a form field.
 * @param {Enums} [options.dynamicEnumsJson] - Optional object overriding the enum default values of an enum form field.
 * @param {string} [options.resumeButtonText] - Optional text for the resume button.
 * @param {string} [options.cancelButtonText] - Optional text for the cancel button.
 * 
 * @returns {Promise<void>} Resolves when the Slack approval request is successfully sent.
 * 
 * @throws {Error} If the function is not called within a flow or flow preview.
 * @throws {Error} If the \`JobService.getSlackApprovalPayload\` call fails.
 * 
 * **Usage Example:**
 * \`\`\`typescript
 * await requestInteractiveSlackApproval({
 *   slackResourcePath: "/u/alex/my_slack_resource",
 *   channelId: "admins-slack-channel",
 *   message: "Please approve this request",
 *   approver: "approver123",
 *   defaultArgsJson: { key1: "value1", key2: 42 },
 *   dynamicEnumsJson: { foo: ["choice1", "choice2"], bar: ["optionA", "optionB"] },
 *   resumeButtonText: "Resume",
 *   cancelButtonText: "Cancel",
 * });
 * \`\`\`
 * 
 * **Note:** This function requires execution within a Windmill flow or flow preview.
 */
async requestInteractiveSlackApproval({ slackResourcePath, channelId, message, approver, defaultArgsJson, dynamicEnumsJson, resumeButtonText, cancelButtonText, }: SlackApprovalOptions): Promise<void>

/**
 * Sends an interactive approval request via Teams, allowing optional customization of the message, approver, and form fields.
 * 
 * **[Enterprise Edition Only]** To include form fields in the Teams approval request, go to **Advanced -> Suspend -> Form**
 * and define a form. Learn more at [Windmill Documentation](https://www.windmill.dev/docs/flows/flow_approval#form).
 * 
 * @param {Object} options - The configuration options for the Teams approval request.
 * @param {string} options.teamName - The Teams team name where the approval request will be sent.
 * @param {string} options.channelName - The Teams channel name where the approval request will be sent.
 * @param {string} [options.message] - Optional custom message to include in the Teams approval request.
 * @param {string} [options.approver] - Optional user ID or name of the approver for the request.
 * @param {DefaultArgs} [options.defaultArgsJson] - Optional object defining or overriding the default arguments to a form field.
 * @param {Enums} [options.dynamicEnumsJson] - Optional object overriding the enum default values of an enum form field.
 * 
 * @returns {Promise<void>} Resolves when the Teams approval request is successfully sent.
 * 
 * @throws {Error} If the function is not called within a flow or flow preview.
 * @throws {Error} If the \`JobService.getTeamsApprovalPayload\` call fails.
 * 
 * **Usage Example:**
 * \`\`\`typescript
 * await requestInteractiveTeamsApproval({
 *   teamName: "admins-teams",
 *   channelName: "admins-teams-channel",
 *   message: "Please approve this request",
 *   approver: "approver123",
 *   defaultArgsJson: { key1: "value1", key2: 42 },
 *   dynamicEnumsJson: { foo: ["choice1", "choice2"], bar: ["optionA", "optionB"] },
 * });
 * \`\`\`
 * 
 * **Note:** This function requires execution within a Windmill flow or flow preview.
 */
async requestInteractiveTeamsApproval({ teamName, channelName, message, approver, defaultArgsJson, dynamicEnumsJson, }: TeamsApprovalOptions): Promise<void>

/**
 * Parse an S3 object from URI string or record format
 * @param s3Object - S3 object as URI string (s3://storage/key) or record
 * @returns S3 object record with storage and s3 key
 */
parseS3Object(s3Object: S3Object): S3ObjectRecord

setWorkflowCtx(ctx: WorkflowCtx | null): void

async sleep(seconds: number): Promise<void>

async step<T>(name: string, fn: () => T | Promise<T>): Promise<T>

/**
 * Create a task that dispatches to a separate Windmill script.
 * 
 * @example
 * const extract = taskScript("f/data/extract");
 * // inside workflow: await extract({ url: "https://..." })
 */
taskScript(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>

/**
 * Create a task that dispatches to a separate Windmill flow.
 * 
 * @example
 * const pipeline = taskFlow("f/etl/pipeline");
 * // inside workflow: await pipeline({ input: data })
 */
taskFlow(path: string, options?: TaskOptions): (...args: any[]) => PromiseLike<any>

/**
 * Mark an async function as a workflow-as-code entry point.
 * 
 * The function must be **deterministic**: given the same inputs it must call
 * tasks in the same order on every replay. Branching on task results is fine
 * (results are replayed from checkpoint), but branching on external state
 * (current time, random values, external API calls) must use \`step()\` to
 * checkpoint the value so replays see the same result.
 */
workflow<T>(fn: (...args: any[]) => Promise<T>): void

/**
 * Suspend the workflow and wait for an external approval.
 * 
 * Use \`getResumeUrls()\` (wrapped in \`step()\`) to obtain resume/cancel/approvalPage
 * URLs before calling this function.
 * 
 * @example
 * const urls = await step("urls", () => getResumeUrls());
 * await step("notify", () => sendEmail(urls.approvalPage));
 * const { value, approver } = await waitForApproval({ timeout: 3600 });
 */
waitForApproval(options?: { timeout?: number; form?: object; selfApproval?: boolean; }): PromiseLike<{ value: any; approver: string; approved: boolean }>

/**
 * Process items in parallel with optional concurrency control.
 * 
 * Each item is processed by calling \`fn(item)\`, which should be a task().
 * Items are dispatched in batches of \`concurrency\` (default: all at once).
 * 
 * @example
 * const process = task(async (item: string) => { ... });
 * const results = await parallel(items, process, { concurrency: 5 });
 */
async parallel<T, R>(items: T[], fn: (item: T) => PromiseLike<R> | R, options?: { concurrency?: number },): Promise<R[]>

/**
 * Commit Kafka offsets for a trigger with auto_commit disabled.
 * @param triggerPath - Path to the Kafka trigger (from event.wm_trigger.trigger_path)
 * @param topic - Kafka topic name (from event.topic)
 * @param partition - Partition number (from event.partition)
 * @param offset - Message offset to commit (from event.offset)
 */
async commitKafkaOffsets(triggerPath: string, topic: string, partition: number, offset: number,): Promise<void>

/**
 * Create a SQL template function for PostgreSQL/datatable queries
 * @param name - Database/datatable name (default: "main")
 * @returns SQL template function for building parameterized queries
 * @example
 * let sql = wmill.datatable()
 * let name = 'Robin'
 * let age = 21
 * await sql\`
 *   SELECT * FROM friends
 *     WHERE name = \${name} AND age = \${age}::int
 * \`.fetch()
 */
datatable(name: string = "main"): DatatableSqlTemplateFunction

/**
 * Create a SQL template function for DuckDB/ducklake queries
 * @param name - DuckDB database name (default: "main")
 * @returns SQL template function for building parameterized queries
 * @example
 * let sql = wmill.ducklake()
 * let name = 'Robin'
 * let age = 21
 * await sql\`
 *   SELECT * FROM friends
 *     WHERE name = \${name} AND age = \${age}
 * \`.fetch()
 */
ducklake(name: string = "main"): SqlTemplateFunction
`;

export const SDK_PYTHON = `# Python SDK (wmill)

Import: import wmill

def get_mocked_api() -> Optional[dict]

# Get the HTTP client instance.
# 
# Returns:
#     Configured httpx.Client for API requests
def get_client() -> httpx.Client

# Make an HTTP GET request to the Windmill API.
# 
# Args:
#     endpoint: API endpoint path
#     raise_for_status: Whether to raise an exception on HTTP errors
#     **kwargs: Additional arguments passed to httpx.get
# 
# Returns:
#     HTTP response object
def get(endpoint, raise_for_status = True, **kwargs) -> httpx.Response

# Make an HTTP POST request to the Windmill API.
# 
# Args:
#     endpoint: API endpoint path
#     raise_for_status: Whether to raise an exception on HTTP errors
#     **kwargs: Additional arguments passed to httpx.post
# 
# Returns:
#     HTTP response object
def post(endpoint, raise_for_status = True, **kwargs) -> httpx.Response

# Create a new authentication token.
# 
# Args:
#     duration: Token validity duration (default: 1 day)
# 
# Returns:
#     New authentication token string
def create_token(duration = dt.timedelta(days=1)) -> str

# Create a script job and return its job id.
# 
# .. deprecated:: Use run_script_by_path_async or run_script_by_hash_async instead.
def run_script_async(path: str = None, hash_: str = None, args: dict = None, scheduled_in_secs: int = None) -> str

# Create a script job by path and return its job id.
def run_script_by_path_async(path: str, args: dict = None, scheduled_in_secs: int = None) -> str

# Create a script job by hash and return its job id.
def run_script_by_hash_async(hash_: str, args: dict = None, scheduled_in_secs: int = None) -> str

# Create a flow job and return its job id.
def run_flow_async(path: str, args: dict = None, scheduled_in_secs: int = None, do_not_track_in_parent: bool = True) -> str

# Run script synchronously and return its result.
# 
# .. deprecated:: Use run_script_by_path or run_script_by_hash instead.
def run_script(path: str = None, hash_: str = None, args: dict = None, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False) -> Any

# Run script by path synchronously and return its result.
def run_script_by_path(path: str, args: dict = None, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False) -> Any

# Run script by hash synchronously and return its result.
def run_script_by_hash(hash_: str, args: dict = None, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False) -> Any

# Run a script on the current worker without creating a job
def run_inline_script_preview(content: str, language: str, args: dict = None) -> Any

# Wait for a job to complete and return its result.
# 
# Args:
#     job_id: ID of the job to wait for
#     timeout: Maximum time to wait (seconds or timedelta)
#     verbose: Enable verbose logging
#     cleanup: Register cleanup handler to cancel job on exit
#     assert_result_is_not_none: Raise exception if result is None
# 
# Returns:
#     Job result when completed
# 
# Raises:
#     TimeoutError: If timeout is reached
#     Exception: If job fails
def wait_job(job_id, timeout: dt.timedelta | int | float | None = None, verbose: bool = False, cleanup: bool = True, assert_result_is_not_none: bool = False)

# Cancel a specific job by ID.
# 
# Args:
#     job_id: UUID of the job to cancel
#     reason: Optional reason for cancellation
# 
# Returns:
#     Response message from the cancel endpoint
def cancel_job(job_id: str, reason: str = None) -> str

# Cancel currently running executions of the same script.
def cancel_running() -> dict

# Get job details by ID.
# 
# Args:
#     job_id: UUID of the job
# 
# Returns:
#     Job details dictionary
def get_job(job_id: str) -> dict

# Get the root job ID for a flow hierarchy.
# 
# Args:
#     job_id: Job ID (defaults to current WM_JOB_ID)
# 
# Returns:
#     Root job ID
def get_root_job_id(job_id: str | None = None) -> dict

# Get an OIDC JWT token for authentication to external services.
# 
# Args:
#     audience: Token audience (e.g., "vault", "aws")
#     expires_in: Optional expiration time in seconds
# 
# Returns:
#     JWT token string
def get_id_token(audience: str, expires_in: int | None = None) -> str

# Get the status of a job.
# 
# Args:
#     job_id: UUID of the job
# 
# Returns:
#     Job status: "RUNNING", "WAITING", or "COMPLETED"
def get_job_status(job_id: str) -> JobStatus

# Get the result of a completed job.
# 
# Args:
#     job_id: UUID of the completed job
#     assert_result_is_not_none: Raise exception if result is None
# 
# Returns:
#     Job result
def get_result(job_id: str, assert_result_is_not_none: bool = True) -> Any

# Get a variable value by path.
# 
# Args:
#     path: Variable path in Windmill
# 
# Returns:
#     Variable value as string
def get_variable(path: str) -> str

# Set a variable value by path, creating it if it doesn't exist.
# 
# Args:
#     path: Variable path in Windmill
#     value: Variable value to set
#     is_secret: Whether the variable should be secret (default: False)
def set_variable(path: str, value: str, is_secret: bool = False) -> None

# Get a resource value by path.
# 
# Args:
#     path: Resource path in Windmill
#     none_if_undefined: Return None instead of raising if not found
#     interpolated: if variables and resources are fully unrolled
# 
# Returns:
#     Resource value dictionary or None
def get_resource(path: str, none_if_undefined: bool = False, interpolated: bool = True) -> dict | None

# Set a resource value by path, creating it if it doesn't exist.
# 
# Args:
#     value: Resource value to set
#     path: Resource path in Windmill
#     resource_type: Resource type for creation
def set_resource(value: Any, path: str, resource_type: str)

# List resources from Windmill workspace.
# 
# Args:
#     resource_type: Optional resource type to filter by (e.g., "postgresql", "mysql", "s3")
#     page: Optional page number for pagination
#     per_page: Optional number of results per page
#     
# Returns:
#     List of resource dictionaries
def list_resources(resource_type: str = None, page: int = None, per_page: int = None) -> list[dict]

# Set the workflow state.
# 
# Args:
#     value: State value to set
#     path: Optional state resource path override.
def set_state(value: Any, path: str | None = None) -> None

# Get the workflow state.
# 
# Args:
#     path: Optional state resource path override.
# 
# Returns:
#     State value or None if not set
def get_state(path: str | None = None) -> Any

# Set job progress percentage (0-99).
# 
# Args:
#     value: Progress percentage
#     job_id: Job ID (defaults to current WM_JOB_ID)
def set_progress(value: int, job_id: Optional[str] = None)

# Get job progress percentage.
# 
# Args:
#     job_id: Job ID (defaults to current WM_JOB_ID)
# 
# Returns:
#     Progress value (0-100) or None if not set
def get_progress(job_id: Optional[str] = None) -> Any

# Set the user state of a flow at a given key
def set_flow_user_state(key: str, value: Any) -> None

# Get the user state of a flow at a given key
def get_flow_user_state(key: str) -> Any

# Get the Windmill server version.
# 
# Returns:
#     Version string
def version()

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from DuckDB
def get_duckdb_connection_settings(s3_resource_path: str = '') -> DuckDbConnectionSettings | None

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from Polars
def get_polars_connection_settings(s3_resource_path: str = '') -> PolarsConnectionSettings

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection using boto3
def get_boto3_connection_settings(s3_resource_path: str = '') -> Boto3ConnectionSettings

# Load a file from the workspace s3 bucket and returns its content as bytes.
# 
# '''python
# from wmill import S3Object
# 
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# my_obj_content = client.load_s3_file(s3_obj)
# file_content = my_obj_content.decode("utf-8")
# '''
def load_s3_file(s3object: S3Object | str, s3_resource_path: str | None) -> bytes

# Load a file from the workspace s3 bucket and returns the bytes stream.
# 
# '''python
# from wmill import S3Object
# 
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# with wmill.load_s3_file_reader(s3object, s3_resource_path) as file_reader:
#     print(file_reader.read())
# '''
def load_s3_file_reader(s3object: S3Object | str, s3_resource_path: str | None) -> BufferedReader

# Write a file to the workspace S3 bucket
# 
# '''python
# from wmill import S3Object
# 
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# 
# # for an in memory bytes array:
# file_content = b'Hello Windmill!'
# client.write_s3_file(s3_obj, file_content)
# 
# # for a file:
# with open("my_file.txt", "rb") as my_file:
#     client.write_s3_file(s3_obj, my_file)
# '''
def write_s3_file(s3object: S3Object | str | None, file_content: BufferedReader | bytes, s3_resource_path: str | None, content_type: str | None = None, content_disposition: str | None = None) -> S3Object

# Permanently delete a file from the workspace S3 bucket.
# 
# '''python
# from wmill import S3Object
# 
# s3_obj = S3Object(s3="/path/to/my_file.txt")
# client.delete_s3_object(s3_obj)
# '''
def delete_s3_object(s3object: S3Object | str, s3_resource_path: str | None = None) -> None

# Sign S3 objects for use by anonymous users in public apps.
# 
# Args:
#     s3_objects: List of S3 objects to sign
# 
# Returns:
#     List of signed S3 objects
def sign_s3_objects(s3_objects: list[S3Object | str]) -> list[S3Object]

# Sign a single S3 object for use by anonymous users in public apps.
# 
# Args:
#     s3_object: S3 object to sign
# 
# Returns:
#     Signed S3 object
def sign_s3_object(s3_object: S3Object | str) -> S3Object

# Generate presigned public URLs for an array of S3 objects.
# If an S3 object is not signed yet, it will be signed first.
# 
# Args:
#     s3_objects: List of S3 objects to sign
#     base_url: Optional base URL for the presigned URLs (defaults to WM_BASE_URL)
# 
# Returns:
#     List of signed public URLs
# 
# Example:
#     >>> s3_objs = [S3Object(s3="/path/to/file1.txt"), S3Object(s3="/path/to/file2.txt")]
#     >>> urls = client.get_presigned_s3_public_urls(s3_objs)
def get_presigned_s3_public_urls(s3_objects: list[S3Object | str], base_url: str | None = None) -> list[str]

# Generate a presigned public URL for an S3 object.
# If the S3 object is not signed yet, it will be signed first.
# 
# Args:
#     s3_object: S3 object to sign
#     base_url: Optional base URL for the presigned URL (defaults to WM_BASE_URL)
# 
# Returns:
#     Signed public URL
# 
# Example:
#     >>> s3_obj = S3Object(s3="/path/to/file.txt")
#     >>> url = client.get_presigned_s3_public_url(s3_obj)
def get_presigned_s3_public_url(s3_object: S3Object | str, base_url: str | None = None) -> str

# Get the current user information.
# 
# Returns:
#     User details dictionary
def whoami() -> dict

# Get the current user information (alias for whoami).
# 
# Returns:
#     User details dictionary
def user() -> dict

# Get the state resource path from environment.
# 
# Returns:
#     State path string
def state_path() -> str

# Get the workflow state.
# 
# Returns:
#     State value or None if not set
def state() -> Any

# Set the state in the shared folder using pickle
def set_shared_state_pickle(value: Any, path: str = 'state.pickle') -> None

# Get the state in the shared folder using pickle
def get_shared_state_pickle(path: str = 'state.pickle') -> Any

# Set the state in the shared folder using pickle
def set_shared_state(value: Any, path: str = 'state.json') -> None

# Get the state in the shared folder using pickle
def get_shared_state(path: str = 'state.json') -> None

# Get URLs needed for resuming a flow after suspension.
# 
# Args:
#     approver: Optional approver name
#     flow_level: If True, generate resume URLs for the parent flow instead of the
#         specific step. This allows pre-approvals that can be consumed by any later
#         suspend step in the same flow.
# 
# Returns:
#     Dictionary with approvalPage, resume, and cancel URLs
def get_resume_urls(approver: str = None, flow_level: bool = None) -> dict

# Sends an interactive approval request via Slack, allowing optional customization of the message, approver, and form fields.
# 
# **[Enterprise Edition Only]** To include form fields in the Slack approval request, use the "Advanced -> Suspend -> Form" functionality.
# Learn more at: https://www.windmill.dev/docs/flows/flow_approval#form
# 
# :param slack_resource_path: The path to the Slack resource in Windmill.
# :type slack_resource_path: str
# :param channel_id: The Slack channel ID where the approval request will be sent.
# :type channel_id: str
# :param message: Optional custom message to include in the Slack approval request.
# :type message: str, optional
# :param approver: Optional user ID or name of the approver for the request.
# :type approver: str, optional
# :param default_args_json: Optional dictionary defining or overriding the default arguments for form fields.
# :type default_args_json: dict, optional
# :param dynamic_enums_json: Optional dictionary overriding the enum default values of enum form fields.
# :type dynamic_enums_json: dict, optional
# 
# :raises Exception: If the function is not called within a flow or flow preview.
# :raises Exception: If the required flow job or flow step environment variables are not set.
# 
# :return: None
# 
# **Usage Example:**
#     >>> client.request_interactive_slack_approval(
#     ...     slack_resource_path="/u/alex/my_slack_resource",
#     ...     channel_id="admins-slack-channel",
#     ...     message="Please approve this request",
#     ...     approver="approver123",
#     ...     default_args_json={"key1": "value1", "key2": 42},
#     ...     dynamic_enums_json={"foo": ["choice1", "choice2"], "bar": ["optionA", "optionB"]},
#     ... )
# 
# **Notes:**
# - This function must be executed within a Windmill flow or flow preview.
# - The function checks for required environment variables (\`WM_FLOW_JOB_ID\`, \`WM_FLOW_STEP_ID\`) to ensure it is run in the appropriate context.
def request_interactive_slack_approval(slack_resource_path: str, channel_id: str, message: str = None, approver: str = None, default_args_json: dict = None, dynamic_enums_json: dict = None) -> None

# Get email from workspace username
# This method is particularly useful for apps that require the email address of the viewer.
# Indeed, in the viewer context WM_USERNAME is set to the username of the viewer but WM_EMAIL is set to the email of the creator of the app.
def username_to_email(username: str) -> str

# Send a message to a Microsoft Teams conversation with conversation_id, where success is used to style the message
def send_teams_message(conversation_id: str, text: str, success: bool = True, card_block: dict = None)

# Get a DataTable client for SQL queries.
# 
# Args:
#     name: Database name (default: "main")
# 
# Returns:
#     DataTableClient instance
def datatable(name: str = 'main')

# Get a DuckLake client for DuckDB queries.
# 
# Args:
#     name: Database name (default: "main")
# 
# Returns:
#     DucklakeClient instance
def ducklake(name: str = 'main')

def init_global_client(f)

def deprecate(in_favor_of: str)

# Get the current workspace ID.
# 
# Returns:
#     Workspace ID string
def get_workspace() -> str

def get_version() -> str

# Run a script synchronously by hash and return its result.
# 
# Args:
#     hash: Script hash
#     args: Script arguments
#     verbose: Enable verbose logging
#     assert_result_is_not_none: Raise exception if result is None
#     cleanup: Register cleanup handler to cancel job on exit
#     timeout: Maximum time to wait
# 
# Returns:
#     Script result
def run_script_sync(hash: str, args: Dict[str, Any] = None, verbose: bool = False, assert_result_is_not_none: bool = True, cleanup: bool = True, timeout: dt.timedelta = None) -> Any

# Run a script synchronously by path and return its result.
# 
# Args:
#     path: Script path
#     args: Script arguments
#     verbose: Enable verbose logging
#     assert_result_is_not_none: Raise exception if result is None
#     cleanup: Register cleanup handler to cancel job on exit
#     timeout: Maximum time to wait
# 
# Returns:
#     Script result
def run_script_by_path_sync(path: str, args: Dict[str, Any] = None, verbose: bool = False, assert_result_is_not_none: bool = True, cleanup: bool = True, timeout: dt.timedelta = None) -> Any

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from DuckDB
def duckdb_connection_settings(s3_resource_path: str = '') -> DuckDbConnectionSettings

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection from Polars
def polars_connection_settings(s3_resource_path: str = '') -> PolarsConnectionSettings

# Convenient helpers that takes an S3 resource as input and returns the settings necessary to
# initiate an S3 connection using boto3
def boto3_connection_settings(s3_resource_path: str = '') -> Boto3ConnectionSettings

# Get the state resource path from environment.
# 
# Returns:
#     State path string
def get_state_path() -> str

# Parse resource syntax from string.
def parse_resource_syntax(s: str) -> Optional[str]

# Parse S3 object from string or S3Object format.
def parse_s3_object(s3_object: S3Object | str) -> S3Object

# Parse variable syntax from string.
def parse_variable_syntax(s: str) -> Optional[str]

# Append a text to the result stream.
# 
# Args:
#     text: text to append to the result stream
def append_to_result_stream(text: str) -> None

# Stream to the result stream.
# 
# Args:
#     stream: stream to stream to the result stream
def stream_result(stream) -> None

# Execute a SQL query against the DataTable.
# 
# Args:
#     sql: SQL query string with $1, $2, etc. placeholders
#     *args: Positional arguments to bind to query placeholders
# 
# Returns:
#     SqlQuery instance for fetching results
def query(sql: str, *args) -> SqlQuery

# Execute query and fetch results.
# 
# Args:
#     result_collection: Optional result collection mode
# 
# Returns:
#     Query results
def fetch(result_collection: str | None = None)

# Execute query and fetch first row of results.
# 
# Returns:
#     First row of query results
def fetch_one()

# Execute query and fetch first row of results. Return result as a scalar value.
# 
# Returns:
#     First row of query result as a scalar value
def fetch_one_scalar()

# Execute query and don't return any results.
#         
def execute()

# DuckDB executor requires explicit argument types at declaration
# These types exist in both DuckDB and Postgres
# Check that the types exist if you plan to extend this function for other SQL engines.
def infer_sql_type(value) -> str

def parse_sql_client_name(name: str) -> tuple[str, Optional[str]]

# Decorator that marks a function as a workflow task.
# 
# Works in both WAC v1 (sync, HTTP-based dispatch) and WAC v2
# (async, checkpoint/replay) modes:
# 
# - **v2 (inside @workflow)**: dispatches as a checkpoint step.
# - **v1 (WM_JOB_ID set, no @workflow)**: dispatches via HTTP API.
# - **Standalone**: executes the function body directly.
# 
# Usage::
# 
#     @task
#     async def extract_data(url: str): ...
# 
#     @task(path="f/external_script", timeout=600, tag="gpu")
#     async def run_external(x: int): ...
def task(_func = None, path: Optional[str] = None, tag: Optional[str] = None, timeout: Optional[int] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)

# Create a task that dispatches to a separate Windmill script.
# 
# Usage::
# 
#     extract = task_script("f/data/extract", timeout=600)
# 
#     @workflow
#     async def main():
#         data = await extract(url="https://...")
def task_script(path: str, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)

# Create a task that dispatches to a separate Windmill flow.
# 
# Usage::
# 
#     pipeline = task_flow("f/etl/pipeline", priority=10)
# 
#     @workflow
#     async def main():
#         result = await pipeline(input=data)
def task_flow(path: str, timeout: Optional[int] = None, tag: Optional[str] = None, cache_ttl: Optional[int] = None, priority: Optional[int] = None, concurrency_limit: Optional[int] = None, concurrency_key: Optional[str] = None, concurrency_time_window_s: Optional[int] = None)

# Decorator marking an async function as a workflow-as-code entry point.
# 
# The function must be **deterministic**: given the same inputs it must call
# tasks in the same order on every replay. Branching on task results is fine
# (results are replayed from checkpoint), but branching on external state
# (current time, random values, external API calls) must use \`\`step()\`\` to
# checkpoint the value so replays see the same result.
def workflow(func)

# Execute \`\`fn\`\` inline and checkpoint the result.
# 
# On replay the cached value is returned without re-executing \`\`fn\`\`.
# Use for lightweight deterministic operations (timestamps, random IDs,
# config reads) that should not incur the overhead of a child job.
async def step(name: str, fn)

# Server-side sleep — suspend the workflow for the given duration without holding a worker.
# 
# Inside a @workflow, the parent job suspends and auto-resumes after \`\`seconds\`\`.
# Outside a workflow, falls back to \`\`asyncio.sleep\`\`.
async def sleep(seconds: int)

# Suspend the workflow and wait for an external approval.
# 
# Use \`\`get_resume_urls()\`\` (wrapped in \`\`step()\`\`) to obtain
# resume/cancel/approval URLs before calling this function.
# 
# Returns a dict with \`\`value\`\` (form data), \`\`approver\`\`, and \`\`approved\`\`.
# 
# Args:
#     timeout: Approval timeout in seconds (default 1800).
#     form: Optional form schema for the approval page.
#     self_approval: Whether the user who triggered the flow can approve it (default True).
# 
# Example::
# 
#     urls = await step("urls", lambda: get_resume_urls())
#     await step("notify", lambda: send_email(urls["approvalPage"]))
#     result = await wait_for_approval(timeout=3600)
async def wait_for_approval(timeout: int = 1800, form: dict | None = None, self_approval: bool = True) -> dict

# Process items in parallel with optional concurrency control.
# 
# Each item is processed by calling \`\`fn(item)\`\`, which should be a @task.
# Items are dispatched in batches of \`\`concurrency\`\` (default: all at once).
# 
# Example::
# 
#     @task
#     async def process(item: str):
#         ...
# 
#     results = await parallel(items, process, concurrency=5)
async def parallel(items, fn, concurrency: Optional[int] = None)

# Commit Kafka offsets for a trigger with auto_commit disabled.
# 
# Args:
#     trigger_path: Path to the Kafka trigger (from event['wm_trigger']['trigger_path'])
#     topic: Kafka topic name (from event['topic'])
#     partition: Partition number (from event['partition'])
#     offset: Message offset to commit (from event['offset'])
def commit_kafka_offsets(trigger_path: str, topic: str, partition: int, offset: int) -> None

`;

export const DATATABLE_SDK_TYPESCRIPT = `## TypeScript Datatable API (windmill-client)

Import: \`import * as wmill from 'windmill-client'\`

SQL statement object with query content, arguments, and execution methods
\`\`\`typescript
type SqlStatement<T> = {
  /** Raw SQL content with formatted arguments */
  content: string;

  /** Argument values keyed by parameter name */
  args: Record<string, any>;

  /**
  * Execute the SQL query and return results
  * @param params - Optional parameters including result collection mode
  * @returns Query results based on the result collection mode
  */
  fetch<ResultCollectionT extends ResultCollection = "last_statement_all_rows">(
  params?: FetchParams<ResultCollectionT | ResultCollection> // The union is for auto-completion
  ): Promise<SqlResult<T, ResultCollectionT>>;

  /**
  * Execute the SQL query and return only the first row
  * @param params - Optional parameters
  * @returns First row of the query result
  */
  fetchOne(
  params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
  ): Promise<SqlResult<T, "last_statement_first_row">>;

  /**
  * Execute the SQL query and return only the first row as a scalar value
  * @param params - Optional parameters
  * @returns First row of the query result
  */
  fetchOneScalar(
  params?: Omit<
  FetchParams<"last_statement_first_row_scalar">,
  "resultCollection"
  >
  ): Promise<SqlResult<T, "last_statement_first_row_scalar">>;

  /**
  * Execute the SQL query without fetching rows
  * @param params - Optional parameters
  */
  execute(
  params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
  ): Promise<void>;
};
\`\`\`

\`\`\`typescript
// Template tag function: sql\`SELECT * FROM table WHERE id = \${id}\`.fetch()
interface DatatableSqlTemplateFunction {
  // Tagged template usage:
  <T = any>(strings: TemplateStringsArray, ...values: any[]): SqlStatement<T>;
  query<T = any>(sql: string, ...params: any[]): SqlStatement<T>;
};
\`\`\`

Create a SQL template function for PostgreSQL/datatable queries
@param name - Database/datatable name (default: "main")
@returns SQL template function for building parameterized queries
@example
let sql = wmill.datatable()
let name = 'Robin'
let age = 21
await sql\`
  SELECT * FROM friends
    WHERE name = \${name} AND age = \${age}::int
\`.fetch()
\`\`\`typescript
function datatable(name: string = "main"): DatatableSqlTemplateFunction
\`\`\`
`;

export const DATATABLE_SDK_PYTHON = `## Python Datatable API (wmill)

Import: \`import wmill\`

# Get a DataTable client for SQL queries.
# 
# Args:
#     name: Database name (default: "main")
# 
# Returns:
#     DataTableClient instance
def datatable(name: str = 'main') -> DataTableClient

# Client for executing SQL queries against Windmill DataTables.
class DataTableClient:
    # Initialize DataTableClient.
    # 
    # Args:
    #     client: Windmill client instance
    #     name: DataTable name
    def __init__(client: Windmill, name: str)

    # Execute a SQL query against the DataTable.
    # 
    # Args:
    #     sql: SQL query string with $1, $2, etc. placeholders
    #     *args: Positional arguments to bind to query placeholders
    # 
    # Returns:
    #     SqlQuery instance for fetching results
    def query(sql: str, *args) -> SqlQuery


# Query result handler for DataTable and DuckLake queries.
class SqlQuery:
    # Initialize SqlQuery.
    # 
    # Args:
    #     sql: SQL query string
    #     fetch_fn: Function to execute the query
    def __init__(sql: str, fetch_fn)

    # Execute query and fetch results.
    # 
    # Args:
    #     result_collection: Optional result collection mode
    # 
    # Returns:
    #     Query results
    def fetch(result_collection: str | None = None)

    # Execute query and fetch first row of results.
    # 
    # Returns:
    #     First row of query results
    def fetch_one()

    # Execute query and fetch first row of results. Return result as a scalar value.
    # 
    # Returns:
    #     First row of query result as a scalar value
    def fetch_one_scalar()

    # Execute query and don't return any results.
    #         
    def execute()


`;

export const OPENFLOW_SCHEMA = `## OpenFlow Schema

{"OpenFlow":{"type":"object","description":"Top-level flow definition containing metadata, configuration, and the flow structure","properties":{"summary":{"type":"string","description":"Short description of what this flow does"},"description":{"type":"string","description":"Detailed documentation for this flow"},"value":{"$ref":"#/components/schemas/FlowValue"},"schema":{"type":"object","description":"JSON Schema for flow inputs. Use this to define input parameters, their types, defaults, and validation. For resource inputs, set type to 'object' and format to 'resource-<type>' (e.g., 'resource-stripe')"},"on_behalf_of_email":{"type":"string","description":"The flow will be run with the permissions of the user with this email."}},"required":["summary","value"]},"FlowValue":{"type":"object","description":"The flow structure containing modules and optional preprocessor/failure handlers","properties":{"modules":{"type":"array","description":"Array of steps that execute in sequence. Each step can be a script, subflow, loop, or branch","items":{"$ref":"#/components/schemas/FlowModule"}},"failure_module":{"description":"Special module that executes when the flow fails. Receives error object with message, name, stack, and step_id. Must have id 'failure'. Only supports script/rawscript types","$ref":"#/components/schemas/FlowModule"},"preprocessor_module":{"description":"Special module that runs before the first step on external triggers. Must have id 'preprocessor'. Only supports script/rawscript types. Cannot reference other step results","$ref":"#/components/schemas/FlowModule"},"same_worker":{"type":"boolean","description":"If true, all steps run on the same worker for better performance"},"concurrent_limit":{"type":"number","description":"Maximum number of concurrent executions of this flow"},"concurrency_key":{"type":"string","description":"Expression to group concurrent executions (e.g., by user ID)"},"concurrency_time_window_s":{"type":"number","description":"Time window in seconds for concurrent_limit"},"debounce_delay_s":{"type":"integer","description":"Delay in seconds to debounce flow executions"},"debounce_key":{"type":"string","description":"Expression to group debounced executions"},"debounce_args_to_accumulate":{"type":"array","description":"Arguments to accumulate across debounced executions","items":{"type":"string"}},"max_total_debouncing_time":{"type":"integer","description":"Maximum total time in seconds that a job can be debounced"},"max_total_debounces_amount":{"type":"integer","description":"Maximum number of times a job can be debounced"},"skip_expr":{"type":"string","description":"JavaScript expression to conditionally skip the entire flow"},"cache_ttl":{"type":"number","description":"Cache duration in seconds for flow results"},"cache_ignore_s3_path":{"type":"boolean"},"flow_env":{"type":"object","description":"Environment variables available to all steps. Values can be strings, JSON values, or special references: '$var:path' (workspace variable) or '$res:path' (resource).","additionalProperties":{}},"priority":{"type":"number","description":"Execution priority (higher numbers run first)"},"early_return":{"type":"string","description":"JavaScript expression to return early from the flow"},"chat_input_enabled":{"type":"boolean","description":"Whether this flow accepts chat-style input"},"notes":{"type":"array","description":"Sticky notes attached to the flow","items":{"$ref":"#/components/schemas/FlowNote"}},"groups":{"type":"array","description":"Semantic groups of modules for organizational purposes","items":{"$ref":"#/components/schemas/FlowGroup"}}},"required":["modules"]},"Retry":{"type":"object","description":"Retry configuration for failed module executions","properties":{"constant":{"type":"object","description":"Retry with constant delay between attempts","properties":{"attempts":{"type":"integer","description":"Number of retry attempts"},"seconds":{"type":"integer","description":"Seconds to wait between retries"}}},"exponential":{"type":"object","description":"Retry with exponential backoff (delay doubles each time)","properties":{"attempts":{"type":"integer","description":"Number of retry attempts"},"multiplier":{"type":"integer","description":"Multiplier for exponential backoff"},"seconds":{"type":"integer","minimum":1,"description":"Initial delay in seconds"},"random_factor":{"type":"integer","minimum":0,"maximum":100,"description":"Random jitter percentage (0-100) to avoid thundering herd"}}},"retry_if":{"$ref":"#/components/schemas/RetryIf"}}},"FlowNote":{"type":"object","description":"A sticky note attached to a flow for documentation and annotation","properties":{"id":{"type":"string","description":"Unique identifier for the note"},"text":{"type":"string","description":"Content of the note"},"position":{"type":"object","description":"Position of the note in the flow editor","properties":{"x":{"type":"number","description":"X coordinate"},"y":{"type":"number","description":"Y coordinate"}},"required":["x","y"]},"size":{"type":"object","description":"Size of the note in the flow editor","properties":{"width":{"type":"number","description":"Width in pixels"},"height":{"type":"number","description":"Height in pixels"}},"required":["width","height"]},"color":{"type":"string","description":"Color of the note (e.g., \\"yellow\\", \\"#ffff00\\")"},"type":{"type":"string","enum":["free","group"],"description":"Type of note - 'free' for standalone notes, 'group' for notes that group other nodes"},"locked":{"type":"boolean","default":false,"description":"Whether the note is locked and cannot be edited or moved"},"contained_node_ids":{"type":"array","items":{"type":"string"},"description":"For group notes, the IDs of nodes contained within this group"}},"required":["id","text","color","type"]},"FlowGroup":{"type":"object","description":"A semantic group of flow modules for organizational purposes. Does not affect execution \\u2014 modules remain in their original position in the flow. Groups provide naming and collapsibility in the editor. Members are computed dynamically from all nodes on paths between start_id and end_id.","properties":{"summary":{"type":"string","description":"Display name for this group"},"note":{"type":"string","description":"Markdown note shown below the group header"},"autocollapse":{"type":"boolean","default":false,"description":"If true, this group is collapsed by default in the flow editor. UI hint only."},"start_id":{"type":"string","description":"ID of the first flow module in this group (topological entry point)"},"end_id":{"type":"string","description":"ID of the last flow module in this group (topological exit point)"},"color":{"type":"string","description":"Color for the group in the flow editor"}},"required":["start_id","end_id"]},"RetryIf":{"type":"object","description":"Conditional retry based on error or result","properties":{"expr":{"type":"string","description":"JavaScript expression that returns true to retry. Has access to 'result' and 'error' variables"}},"required":["expr"]},"StopAfterIf":{"type":"object","description":"Early termination condition for a module","properties":{"skip_if_stopped":{"type":"boolean","description":"If true, following steps are skipped when this condition triggers"},"expr":{"type":"string","description":"JavaScript expression evaluated after the module runs. Can use 'result' (step's result) or 'flow_input'. Return true to stop"},"error_message":{"type":"string","nullable":true,"description":"Custom error message when stopping with an error. Mutually exclusive with skip_if_stopped. If set to a non-empty string, the flow stops with this error. If empty string, a default error message is used. If null or omitted, no error is raised."}},"required":["expr"]},"FlowModule":{"type":"object","description":"A single step in a flow. Can be a script, subflow, loop, or branch","properties":{"id":{"type":"string","description":"Unique identifier for this step. Used to reference results via 'results.step_id'. Must be a valid identifier (alphanumeric, underscore, hyphen)"},"value":{"$ref":"#/components/schemas/FlowModuleValue"},"stop_after_if":{"description":"Early termination condition evaluated after this step completes","$ref":"#/components/schemas/StopAfterIf"},"stop_after_all_iters_if":{"description":"For loops only - early termination condition evaluated after all iterations complete","$ref":"#/components/schemas/StopAfterIf"},"skip_if":{"type":"object","description":"Conditionally skip this step based on previous results or flow inputs","properties":{"expr":{"type":"string","description":"JavaScript expression that returns true to skip. Can use 'flow_input' or 'results.<step_id>'"}},"required":["expr"]},"sleep":{"description":"Delay before executing this step (in seconds or as expression)","$ref":"#/components/schemas/InputTransform"},"cache_ttl":{"type":"number","description":"Cache duration in seconds for this step's results"},"cache_ignore_s3_path":{"type":"boolean"},"timeout":{"description":"Maximum execution time in seconds (static value or expression)","$ref":"#/components/schemas/InputTransform"},"delete_after_use":{"type":"boolean","description":"If true, this step's result is deleted after use to save memory"},"summary":{"type":"string","description":"Short description of what this step does"},"mock":{"type":"object","description":"Mock configuration for testing without executing the actual step","properties":{"enabled":{"type":"boolean","description":"If true, return mock value instead of executing"},"return_value":{"description":"Value to return when mocked"}}},"suspend":{"type":"object","description":"Configuration for approval/resume steps that wait for user input","properties":{"required_events":{"type":"integer","description":"Number of approvals required before continuing"},"timeout":{"type":"integer","description":"Timeout in seconds before auto-continuing or canceling"},"resume_form":{"type":"object","description":"Form schema for collecting input when resuming","properties":{"schema":{"type":"object","description":"JSON Schema for the resume form"}}},"user_auth_required":{"type":"boolean","description":"If true, only authenticated users can approve"},"user_groups_required":{"description":"Expression or list of groups that can approve","$ref":"#/components/schemas/InputTransform"},"self_approval_disabled":{"type":"boolean","description":"If true, the user who started the flow cannot approve"},"hide_cancel":{"type":"boolean","description":"If true, hide the cancel button on the approval form"},"continue_on_disapprove_timeout":{"type":"boolean","description":"If true, continue flow on timeout instead of canceling"}}},"priority":{"type":"number","description":"Execution priority for this step (higher numbers run first)"},"continue_on_error":{"type":"boolean","description":"If true, flow continues even if this step fails"},"retry":{"description":"Retry configuration if this step fails","$ref":"#/components/schemas/Retry"},"debouncing":{"description":"Debounce configuration for this step (EE only)","type":"object","properties":{"debounce_delay_s":{"type":"integer","description":"Delay in seconds to debounce this step's executions across flow runs"},"debounce_key":{"type":"string","description":"Expression to group debounced executions. Supports $workspace and $args[name]. Default: $workspace/flow/<flow_path>-<step_id>"},"debounce_args_to_accumulate":{"type":"array","description":"Array-type arguments to accumulate across debounced executions","items":{"type":"string"}},"max_total_debouncing_time":{"type":"integer","description":"Maximum total time in seconds before forced execution"},"max_total_debounces_amount":{"type":"integer","description":"Maximum number of debounces before forced execution"}}}},"required":["value","id"]},"InputTransform":{"description":"Maps input parameters for a step. Can be a static value or a JavaScript expression that references previous results or flow inputs","oneOf":[{"$ref":"#/components/schemas/StaticTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"StaticTransform":{"type":"object","description":"Static value passed directly to the step. Use for hardcoded values or resource references like '$res:path/to/resource'","properties":{"value":{"description":"The static value. For resources, use format '$res:path/to/resource'"},"type":{"type":"string","enum":["static"]}},"required":["type"]},"JavascriptTransform":{"type":"object","description":"JavaScript expression evaluated at runtime. Can reference previous step results via 'results.step_id' or flow inputs via 'flow_input.property'. Inside loops, use 'flow_input.iter.value' for the current iteration value","properties":{"expr":{"type":"string","description":"JavaScript expression returning the value. Available variables - results (object with all previous step results), flow_input (flow inputs), flow_input.iter (in loops)"},"type":{"type":"string","enum":["javascript"]}},"required":["expr","type"]},"AiTransform":{"type":"object","description":"Value resolved by the AI runtime for this input. The AI engine decides how to satisfy the parameter.","properties":{"type":{"type":"string","enum":["ai"]}},"required":["type"]},"AIProviderKind":{"type":"string","description":"Supported AI provider types","enum":["openai","azure_openai","anthropic","mistral","deepseek","googleai","groq","openrouter","togetherai","customai","aws_bedrock"]},"ProviderConfig":{"type":"object","description":"Complete AI provider configuration with resource reference and model selection","properties":{"kind":{"$ref":"#/components/schemas/AIProviderKind"},"resource":{"type":"string","description":"Resource reference in format '$res:{resource_path}' pointing to provider credentials"},"model":{"type":"string","description":"Model identifier (e.g., 'gpt-4', 'claude-3-opus-20240229', 'gemini-pro')"}},"required":["kind","resource","model"]},"StaticProviderTransform":{"type":"object","description":"Static provider configuration passed directly to the AI agent","properties":{"value":{"$ref":"#/components/schemas/ProviderConfig"},"type":{"type":"string","enum":["static"]}},"required":["type","value"]},"ProviderTransform":{"description":"Provider configuration - can be static (ProviderConfig), JavaScript expression, or AI-determined","oneOf":[{"$ref":"#/components/schemas/StaticProviderTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticProviderTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"MemoryOff":{"type":"object","description":"No conversation memory/context","properties":{"kind":{"type":"string","enum":["off"]}},"required":["kind"]},"MemoryAuto":{"type":"object","description":"Automatic context management","properties":{"kind":{"type":"string","enum":["auto"]},"context_length":{"type":"integer","description":"Maximum number of messages to retain in context"},"memory_id":{"type":"string","description":"Identifier for persistent memory across agent invocations"}},"required":["kind"]},"MemoryMessage":{"type":"object","description":"A single message in conversation history","properties":{"role":{"type":"string","enum":["user","assistant","system"]},"content":{"type":"string"}},"required":["role","content"]},"MemoryManual":{"type":"object","description":"Explicit message history","properties":{"kind":{"type":"string","enum":["manual"]},"messages":{"type":"array","items":{"$ref":"#/components/schemas/MemoryMessage"}}},"required":["kind","messages"]},"MemoryConfig":{"description":"Conversation memory configuration","oneOf":[{"$ref":"#/components/schemas/MemoryOff"},{"$ref":"#/components/schemas/MemoryAuto"},{"$ref":"#/components/schemas/MemoryManual"}],"discriminator":{"propertyName":"kind","mapping":{"off":"#/components/schemas/MemoryOff","auto":"#/components/schemas/MemoryAuto","manual":"#/components/schemas/MemoryManual"}}},"StaticMemoryTransform":{"type":"object","description":"Static memory configuration passed directly to the AI agent","properties":{"value":{"$ref":"#/components/schemas/MemoryConfig"},"type":{"type":"string","enum":["static"]}},"required":["type","value"]},"MemoryTransform":{"description":"Memory configuration - can be static (MemoryConfig), JavaScript expression, or AI-determined","oneOf":[{"$ref":"#/components/schemas/StaticMemoryTransform"},{"$ref":"#/components/schemas/JavascriptTransform"},{"$ref":"#/components/schemas/AiTransform"}],"discriminator":{"propertyName":"type","mapping":{"static":"#/components/schemas/StaticMemoryTransform","javascript":"#/components/schemas/JavascriptTransform","ai":"#/components/schemas/AiTransform"}}},"FlowModuleValue":{"description":"The actual implementation of a flow step. Can be a script (inline or referenced), subflow, loop, branch, or special module type","oneOf":[{"$ref":"#/components/schemas/RawScript"},{"$ref":"#/components/schemas/PathScript"},{"$ref":"#/components/schemas/PathFlow"},{"$ref":"#/components/schemas/ForloopFlow"},{"$ref":"#/components/schemas/WhileloopFlow"},{"$ref":"#/components/schemas/BranchOne"},{"$ref":"#/components/schemas/BranchAll"},{"$ref":"#/components/schemas/Identity"},{"$ref":"#/components/schemas/AiAgent"}],"discriminator":{"propertyName":"type","mapping":{"rawscript":"#/components/schemas/RawScript","script":"#/components/schemas/PathScript","flow":"#/components/schemas/PathFlow","forloopflow":"#/components/schemas/ForloopFlow","whileloopflow":"#/components/schemas/WhileloopFlow","branchone":"#/components/schemas/BranchOne","branchall":"#/components/schemas/BranchAll","identity":"#/components/schemas/Identity","aiagent":"#/components/schemas/AiAgent"}}},"RawScript":{"type":"object","description":"Inline script with code defined directly in the flow. Use 'bun' as default language if unspecified. The script receives arguments from input_transforms","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the script's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"content":{"type":"string","description":"The script source code. Should export a 'main' function"},"language":{"type":"string","description":"Programming language for this script","enum":["deno","bun","python3","go","bash","powershell","postgresql","mysql","bigquery","snowflake","mssql","oracledb","graphql","nativets","php","rust","ansible","csharp","nu","java","ruby","duckdb"]},"path":{"type":"string","description":"Optional path for saving this script"},"lock":{"type":"string","description":"Lock file content for dependencies"},"type":{"type":"string","enum":["rawscript"]},"tag":{"type":"string","description":"Worker group tag for execution routing"},"concurrent_limit":{"type":"number","description":"Maximum concurrent executions of this script"},"concurrency_time_window_s":{"type":"number","description":"Time window for concurrent_limit"},"custom_concurrency_key":{"type":"string","description":"Custom key for grouping concurrent executions"},"is_trigger":{"type":"boolean","description":"If true, this script is a trigger that can start the flow"},"assets":{"type":"array","description":"External resources this script accesses (S3 objects, resources, etc.)","items":{"type":"object","required":["path","kind"],"properties":{"path":{"type":"string","description":"Path to the asset"},"kind":{"type":"string","description":"Type of asset","enum":["s3object","resource","ducklake","datatable","volume"]},"access_type":{"type":"string","nullable":true,"description":"Access level for this asset","enum":["r","w","rw"]},"alt_access_type":{"type":"string","nullable":true,"description":"Alternative access level","enum":["r","w","rw"]}}}}},"required":["type","content","language","input_transforms"]},"PathScript":{"type":"object","description":"Reference to an existing script by path. Use this when calling a previously saved script instead of writing inline code","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the script's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"path":{"type":"string","description":"Path to the script in the workspace (e.g., 'f/scripts/send_email')"},"hash":{"type":"string","description":"Optional specific version hash of the script to use"},"type":{"type":"string","enum":["script"]},"tag_override":{"type":"string","description":"Override the script's default worker group tag"},"is_trigger":{"type":"boolean","description":"If true, this script is a trigger that can start the flow"}},"required":["type","path","input_transforms"]},"PathFlow":{"type":"object","description":"Reference to an existing flow by path. Use this to call another flow as a subflow","properties":{"input_transforms":{"type":"object","description":"Map of parameter names to their values (static or JavaScript expressions). These become the subflow's input arguments","additionalProperties":{"$ref":"#/components/schemas/InputTransform"}},"path":{"type":"string","description":"Path to the flow in the workspace (e.g., 'f/flows/process_user')"},"type":{"type":"string","enum":["flow"]}},"required":["type","path","input_transforms"]},"ForloopFlow":{"type":"object","description":"Executes nested modules in a loop over an iterator. Inside the loop, use 'flow_input.iter.value' to access the current iteration value, and 'flow_input.iter.index' for the index. Supports parallel execution for better performance on I/O-bound operations","properties":{"modules":{"type":"array","description":"Steps to execute for each iteration. These can reference the iteration value via 'flow_input.iter.value'","items":{"$ref":"#/components/schemas/FlowModule"}},"iterator":{"description":"JavaScript expression that returns an array to iterate over. Can reference 'results.step_id' or 'flow_input'","$ref":"#/components/schemas/InputTransform"},"skip_failures":{"type":"boolean","description":"If true, iteration failures don't stop the loop. Failed iterations return null"},"type":{"type":"string","enum":["forloopflow"]},"parallel":{"type":"boolean","description":"If true, iterations run concurrently (faster for I/O-bound operations). Use with parallelism to control concurrency"},"parallelism":{"description":"Maximum number of concurrent iterations when parallel=true. Limits resource usage. Can be static number or expression","$ref":"#/components/schemas/InputTransform"},"squash":{"type":"boolean"}},"required":["modules","iterator","skip_failures","type"]},"WhileloopFlow":{"type":"object","description":"Executes nested modules repeatedly while a condition is true. The loop checks the condition after each iteration. Use stop_after_if on modules to control loop termination","properties":{"modules":{"type":"array","description":"Steps to execute in each iteration. Use stop_after_if to control when the loop ends","items":{"$ref":"#/components/schemas/FlowModule"}},"skip_failures":{"type":"boolean","description":"If true, iteration failures don't stop the loop. Failed iterations return null"},"type":{"type":"string","enum":["whileloopflow"]},"parallel":{"type":"boolean","description":"If true, iterations run concurrently (use with caution in while loops)"},"parallelism":{"description":"Maximum number of concurrent iterations when parallel=true","$ref":"#/components/schemas/InputTransform"},"squash":{"type":"boolean"}},"required":["modules","skip_failures","type"]},"BranchOne":{"type":"object","description":"Conditional branching where only the first matching branch executes. Branches are evaluated in order, and the first one with a true expression runs. If no branches match, the default branch executes","properties":{"branches":{"type":"array","description":"Array of branches to evaluate in order. The first branch with expr evaluating to true executes","items":{"type":"object","properties":{"summary":{"type":"string","description":"Short description of this branch condition"},"expr":{"type":"string","description":"JavaScript expression that returns boolean. Can use 'results.step_id' or 'flow_input'. First true expr wins"},"modules":{"type":"array","description":"Steps to execute if this branch's expr is true","items":{"$ref":"#/components/schemas/FlowModule"}}},"required":["modules","expr"]}},"default":{"type":"array","description":"Steps to execute if no branch expressions match","items":{"$ref":"#/components/schemas/FlowModule"}},"type":{"type":"string","enum":["branchone"]}},"required":["branches","default","type"]},"BranchAll":{"type":"object","description":"Parallel branching where all branches execute simultaneously. Unlike BranchOne, all branches run regardless of conditions. Useful for executing independent tasks concurrently","properties":{"branches":{"type":"array","description":"Array of branches that all execute (either in parallel or sequentially)","items":{"type":"object","properties":{"summary":{"type":"string","description":"Short description of this branch's purpose"},"skip_failure":{"type":"boolean","description":"If true, failure in this branch doesn't fail the entire flow"},"modules":{"type":"array","description":"Steps to execute in this branch","items":{"$ref":"#/components/schemas/FlowModule"}}},"required":["modules"]}},"type":{"type":"string","enum":["branchall"]},"parallel":{"type":"boolean","description":"If true, all branches execute concurrently. If false, they execute sequentially"}},"required":["branches","type"]},"AgentTool":{"type":"object","description":"A tool available to an AI agent. Can be a flow module or an external MCP (Model Context Protocol) tool","properties":{"id":{"type":"string","description":"Unique identifier for this tool. Cannot contain spaces - use underscores instead (e.g., 'get_user_data' not 'get user data')"},"summary":{"type":"string","description":"Short description of what this tool does (shown to the AI)"},"value":{"$ref":"#/components/schemas/ToolValue"}},"required":["id","value"]},"ToolValue":{"description":"The implementation of a tool. Can be a flow module (script/flow) or an MCP tool reference","oneOf":[{"$ref":"#/components/schemas/FlowModuleTool"},{"$ref":"#/components/schemas/McpToolValue"},{"$ref":"#/components/schemas/WebsearchToolValue"}],"discriminator":{"propertyName":"tool_type","mapping":{"flowmodule":"#/components/schemas/FlowModuleTool","mcp":"#/components/schemas/McpToolValue","websearch":"#/components/schemas/WebsearchToolValue"}}},"FlowModuleTool":{"description":"A tool implemented as a flow module (script, flow, etc.). The AI can call this like any other flow module","allOf":[{"type":"object","properties":{"tool_type":{"type":"string","enum":["flowmodule"]}},"required":["tool_type"]},{"$ref":"#/components/schemas/FlowModuleValue"}]},"WebsearchToolValue":{"type":"object","description":"A tool implemented as a websearch tool. The AI can call this like any other websearch tool","properties":{"tool_type":{"type":"string","enum":["websearch"]}},"required":["tool_type"]},"McpToolValue":{"type":"object","description":"Reference to an external MCP (Model Context Protocol) tool. The AI can call tools from MCP servers","properties":{"tool_type":{"type":"string","enum":["mcp"]},"resource_path":{"type":"string","description":"Path to the MCP resource/server configuration"},"include_tools":{"type":"array","description":"Whitelist of specific tools to include from this MCP server","items":{"type":"string"}},"exclude_tools":{"type":"array","description":"Blacklist of tools to exclude from this MCP server","items":{"type":"string"}}},"required":["tool_type","resource_path"]},"AiAgent":{"type":"object","description":"AI agent step that can use tools to accomplish tasks. The agent receives inputs and can call any of its configured tools to complete the task","properties":{"input_transforms":{"type":"object","description":"Input parameters for the AI agent mapped to their values","properties":{"provider":{"$ref":"#/components/schemas/ProviderTransform"},"output_type":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Output format type.\\nValid values: 'text' (default) - plain text response, 'image' - image generation\\n"},"user_message":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"The user's prompt/message to the AI agent. Supports variable interpolation with flow.input syntax."},"system_prompt":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"System instructions that guide the AI's behavior, persona, and response style. Optional."},"streaming":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Boolean. If true, stream the AI response incrementally.\\nStreaming events include: token_delta, tool_call, tool_call_arguments, tool_execution, tool_result\\n"},"memory":{"$ref":"#/components/schemas/MemoryTransform"},"output_schema":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"JSON Schema object defining structured output format. Used when you need the AI to return data in a specific shape.\\nSupports standard JSON Schema properties: type, properties, required, items, enum, pattern, minLength, maxLength, minimum, maximum, etc.\\nExample: { type: 'object', properties: { name: { type: 'string' }, age: { type: 'integer' } }, required: ['name'] }\\n"},"user_attachments":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Array of file references (images or PDFs) for the AI agent.\\nFormat: Array<{ bucket: string, key: string }> - S3 object references\\nExample: [{ bucket: 'my-bucket', key: 'documents/report.pdf' }]\\n"},"max_completion_tokens":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Integer. Maximum number of tokens the AI will generate in its response.\\nRange: 1 to 4,294,967,295. Typical values: 256-4096 for most use cases.\\n"},"temperature":{"allOf":[{"$ref":"#/components/schemas/InputTransform"}],"description":"Float. Controls randomness/creativity of responses.\\nRange: 0.0 to 2.0 (provider-dependent)\\n- 0.0 = deterministic, focused responses\\n- 0.7 = balanced (common default)\\n- 1.0+ = more creative/random\\n"}},"required":["provider","user_message","output_type"]},"tools":{"type":"array","description":"Array of tools the agent can use. The agent decides which tools to call based on the task","items":{"$ref":"#/components/schemas/AgentTool"}},"type":{"type":"string","enum":["aiagent"]},"parallel":{"type":"boolean","description":"If true, the agent can execute multiple tool calls in parallel"}},"required":["tools","type","input_transforms"]},"Identity":{"type":"object","description":"Pass-through module that returns its input unchanged. Useful for flow structure or as a placeholder","properties":{"type":{"type":"string","enum":["identity"]},"flow":{"type":"boolean","description":"If true, marks this as a flow identity (special handling)"}},"required":["type"]},"FlowStatus":{"type":"object","properties":{"step":{"type":"integer"},"modules":{"type":"array","items":{"$ref":"#/components/schemas/FlowStatusModule"}},"user_states":{"additionalProperties":true},"preprocessor_module":{"allOf":[{"$ref":"#/components/schemas/FlowStatusModule"}]},"failure_module":{"allOf":[{"$ref":"#/components/schemas/FlowStatusModule"},{"type":"object","properties":{"parent_module":{"type":"string"}}}]},"retry":{"type":"object","properties":{"fail_count":{"type":"integer"},"failed_jobs":{"type":"array","items":{"type":"string","format":"uuid"}}}}},"required":["step","modules","failure_module"]},"FlowStatusModule":{"type":"object","properties":{"type":{"type":"string","enum":["WaitingForPriorSteps","WaitingForEvents","WaitingForExecutor","InProgress","Success","Failure"]},"id":{"type":"string"},"job":{"type":"string","format":"uuid"},"count":{"type":"integer"},"progress":{"type":"integer"},"iterator":{"type":"object","properties":{"index":{"type":"integer"},"itered":{"type":"array","items":{}},"itered_len":{"type":"integer"},"args":{}}},"flow_jobs":{"type":"array","items":{"type":"string"}},"flow_jobs_success":{"type":"array","items":{"type":"boolean"}},"flow_jobs_duration":{"type":"object","properties":{"started_at":{"type":"array","items":{"type":"string"}},"duration_ms":{"type":"array","items":{"type":"integer"}}}},"branch_chosen":{"type":"object","properties":{"type":{"type":"string","enum":["branch","default"]},"branch":{"type":"integer"}},"required":["type"]},"branchall":{"type":"object","properties":{"branch":{"type":"integer"},"len":{"type":"integer"}},"required":["branch","len"]},"approvers":{"type":"array","items":{"type":"object","properties":{"resume_id":{"type":"integer"},"approver":{"type":"string"}},"required":["resume_id","approver"]}},"failed_retries":{"type":"array","items":{"type":"string","format":"uuid"}},"skipped":{"type":"boolean"},"agent_actions":{"type":"array","items":{"type":"object","oneOf":[{"type":"object","properties":{"job_id":{"type":"string","format":"uuid"},"function_name":{"type":"string"},"type":{"type":"string","enum":["tool_call"]},"module_id":{"type":"string"}},"required":["job_id","function_name","type","module_id"]},{"type":"object","properties":{"call_id":{"type":"string","format":"uuid"},"function_name":{"type":"string"},"resource_path":{"type":"string"},"type":{"type":"string","enum":["mcp_tool_call"]},"arguments":{"type":"object"}},"required":["call_id","function_name","resource_path","type"]},{"type":"object","properties":{"type":{"type":"string","enum":["web_search"]}},"required":["type"]},{"type":"object","properties":{"type":{"type":"string","enum":["message"]}},"required":["content","type"]}]}},"agent_actions_success":{"type":"array","items":{"type":"boolean"}}},"required":["type"]}}`;

export const CLI_COMMANDS = `# Windmill CLI Commands

The Windmill CLI (\`wmill\`) provides commands for managing scripts, flows, apps, and other resources.

## Global Options

- \`--workspace <workspace:string>\` - Specify the target workspace. This overrides the default workspace.
- \`--debug --verbose\` - Show debug/verbose logs
- \`--show-diffs\` - Show diff informations when syncing (may show sensitive informations)
- \`--token <token:string>\` - Specify an API token. This will override any stored token.
- \`--base-url <baseUrl:string>\` - Specify the base URL of the API. If used, --token and --workspace are required and no local remote/workspace already set will be used.
- \`--config-dir <configDir:string>\` - Specify a custom config directory. Overrides WMILL_CONFIG_DIR environment variable and default ~/.config location.

## Commands

### app

app related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`app list\` - list all apps
  - \`--json\` - Output as JSON (for piping to jq)
- \`app get <path:string>\` - get an app's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`app push <file_path:string> <remote_path:string>\` - push a local app 
- \`app dev [app_folder:string]\` - Start a development server for building apps with live reload and hot module replacement
  - \`--port <port:number>\` - Port to run the dev server on (will find next available port if occupied)
  - \`--host <host:string>\` - Host to bind the dev server to
  - \`--entry <entry:string>\` - Entry point file (default: index.ts for Svelte/Vue, index.tsx otherwise)
  - \`--no-open\` - Don't automatically open the browser
- \`app lint [app_folder:string]\` - Lint a raw app folder to validate structure and buildability
  - \`--fix\` - Attempt to fix common issues (not implemented yet)
- \`app new\` - create a new raw app from a template
- \`app generate-agents [app_folder:string]\` - regenerate AGENTS.md and DATATABLES.md from remote workspace
- \`app generate-locks [app_folder:string]\` - re-generate the lockfiles for app runnables inline scripts that have changed
  - \`--yes\` - Skip confirmation prompt
  - \`--dry-run\` - Perform a dry run without making changes
  - \`--default-ts <runtime:string>\` - Default TypeScript runtime (bun or deno)

### dependencies

workspace dependencies related commands

**Alias:** \`deps\`

**Subcommands:**

- \`dependencies push <file_path:string>\` - Push workspace dependencies from a local file

### dev

Launch a dev server that will spawn a webserver with HMR

**Options:**
- \`--includes <pattern...:string>\` - Filter paths givena glob pattern or path

### docs

Search Windmill documentation. Requires Enterprise Edition.

**Arguments:** \`<query:string>\`

**Options:**
- \`--json\` - Output results as JSON.

### flow

flow related commands

**Options:**
- \`--show-archived\` - Enable archived flows in output
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`flow list\` - list all flows
  - \`--show-archived\` - Enable archived flows in output
  - \`--json\` - Output as JSON (for piping to jq)
- \`flow get <path:string>\` - get a flow's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`flow push <file_path:string> <remote_path:string>\` - push a local flow spec. This overrides any remote versions.
- \`flow run <path:string>\` - run a flow by path.
  - \`-d --data <data:string>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-.
  - \`-s --silent\` - Do not ouput anything other then the final output. Useful for scripting.
- \`flow preview <flow_path:string>\` - preview a local flow without deploying it. Runs the flow definition from local files and uses local PathScripts by default.
  - \`-d --data <data:string>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-.
  - \`-s --silent\` - Do not output anything other then the final output. Useful for scripting.
  - \`--remote\` - Use deployed workspace scripts for PathScript steps instead of local files.
- \`flow generate-locks [flow:file]\` - re-generate the lock files of all inline scripts of all updated flows
  - \`--yes\` - Skip confirmation prompt
  - \`--dry-run\` - Perform a dry run without making changes
  - \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string)
  - \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account.
- \`flow new <flow_path:string>\` - create a new empty flow
  - \`--summary <summary:string>\` - flow summary
  - \`--description <description:string>\` - flow description
- \`flow bootstrap <flow_path:string>\` - create a new empty flow (alias for new
  - \`--summary <summary:string>\` - flow summary
  - \`--description <description:string>\` - flow description

### folder

folder related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`folder list\` - list all folders
  - \`--json\` - Output as JSON (for piping to jq)
- \`folder get <name:string>\` - get a folder's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`folder new <name:string>\` - create a new folder locally
  - \`--summary <summary:string>\` - folder summary
- \`folder push <name:string>\` - push a local folder to the remote by name. This overrides any remote versions.
- \`folder add-missing\` - create default folder.meta.yaml for all subdirectories of f/ that are missing one
  - \`-y, --yes\` - skip confirmation prompt

### generate-metadata

Generate metadata (locks, schemas) for all scripts, flows, and apps

**Arguments:** \`[folder:string]\`

**Options:**
- \`--yes\` - Skip confirmation prompt
- \`--dry-run\` - Show what would be updated without making changes
- \`--lock-only\` - Re-generate only the lock files
- \`--schema-only\` - Re-generate only script schemas (skips flows and apps)
- \`--skip-scripts\` - Skip processing scripts
- \`--skip-flows\` - Skip processing flows
- \`--skip-apps\` - Skip processing apps
- \`--strict-folder-boundaries\` - Only update items inside the specified folder (requires folder argument)
- \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which files to include
- \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which files to exclude

### gitsync-settings

Manage git-sync settings between local wmill.yaml and Windmill backend

**Subcommands:**

- \`gitsync-settings pull\` - Pull git-sync settings from Windmill backend to local wmill.yaml
  - \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo)
  - \`--default\` - Write settings to top-level defaults instead of overrides
  - \`--replace\` - Replace existing settings (non-interactive mode)
  - \`--override\` - Add branch-specific override (non-interactive mode)
  - \`--diff\` - Show differences without applying changes
  - \`--json-output\` - Output in JSON format
  - \`--with-backend-settings <json:string>\` - Use provided JSON settings instead of querying backend (for testing)
  - \`--yes\` - Skip interactive prompts and use default behavior
  - \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides
- \`gitsync-settings push\` - Push git-sync settings from local wmill.yaml to Windmill backend
  - \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo)
  - \`--diff\` - Show what would be pushed without applying changes
  - \`--json-output\` - Output in JSON format
  - \`--with-backend-settings <json:string>\` - Use provided JSON settings instead of querying backend (for testing)
  - \`--yes\` - Skip interactive prompts and use default behavior
  - \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides

### hub

Hub related commands. EXPERIMENTAL. INTERNAL USE ONLY.

**Subcommands:**

- \`hub pull\` - pull any supported definitions. EXPERIMENTAL.

### init

Bootstrap a windmill project with a wmill.yaml file

**Options:**
- \`--use-default\` - Use default settings without checking backend
- \`--use-backend\` - Use backend git-sync settings if available
- \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when using backend settings
- \`--bind-profile\` - Automatically bind active workspace profile to current Git branch
- \`--no-bind-profile\` - Skip workspace profile binding prompt

### instance

sync local with a remote instance or the opposite (push or pull)

**Subcommands:**

- \`instance add [instance_name:string] [remote:string] [token:string]\` - Add a new instance
- \`instance remove <instance:string:instance>\` - Remove an instance
- \`instance switch <instance:string:instance>\` - Switch the current instance
- \`instance pull\` - Pull instance settings, users, configs, instance groups and overwrite local
  - \`--yes\` - Pull without needing confirmation
  - \`--dry-run\` - Perform a dry run without making changes
  - \`--skip-users\` - Skip pulling users
  - \`--skip-settings\` - Skip pulling settings
  - \`--skip-configs\` - Skip pulling configs (worker groups and SMTP)
  - \`--skip-groups\` - Skip pulling instance groups
  - \`--include-workspaces\` - Also pull workspaces
  - \`--folder-per-instance\` - Create a folder per instance
  - \`--instance <instance:string>\` - Name of the instance to pull from, override the active instance
  - \`--prefix <prefix:string>\` - Prefix of the local workspaces to pull, used to create the folders when using --include-workspaces
  - \`--prefix-settings\` - Store instance yamls inside prefixed folders when using --prefix and --folder-per-instance
- \`instance push\` - Push instance settings, users, configs, group and overwrite remote
  - \`--yes\` - Push without needing confirmation
  - \`--dry-run\` - Perform a dry run without making changes
  - \`--skip-users\` - Skip pushing users
  - \`--skip-settings\` - Skip pushing settings
  - \`--skip-configs\` - Skip pushing configs (worker groups and SMTP)
  - \`--skip-groups\` - Skip pushing instance groups
  - \`--include-workspaces\` - Also push workspaces
  - \`--folder-per-instance\` - Create a folder per instance
  - \`--instance <instance:string>\` - Name of the instance to push to, override the active instance
  - \`--prefix <prefix:string>\` - Prefix of the local workspaces folders to push
  - \`--prefix-settings\` - Store instance yamls inside prefixed folders when using --prefix and --folder-per-instance
- \`instance whoami\` - Display information about the currently logged-in user
- \`instance get-config\` - Dump the current instance config (global settings + worker configs) as YAML
  - \`-o, --output-file <file:string>\` - Write YAML to a file instead of stdout
  - \`--instance <instance:string>\` - Name of the instance, override the active instance

### jobs

Pull completed and queued jobs from workspace

**Arguments:** \`[workspace:string]\`

**Options:**
- \`-c, --completed-output <file:string>\` - Completed jobs output file (default: completed_jobs.json)
- \`-q, --queued-output <file:string>\` - Queued jobs output file (default: queued_jobs.json)
- \`--skip-worker-check\` - Skip checking for active workers before export

**Subcommands:**

- \`jobs pull\`
- \`jobs push\`

### lint

Validate Windmill flow, schedule, and trigger YAML files in a directory

**Arguments:** \`[directory:string]\`

**Options:**
- \`--json\` - Output results in JSON format
- \`--fail-on-warn\` - Exit with code 1 when warnings are emitted
- \`--locks-required\` - Fail if scripts or flow inline scripts that need locks have no locks

### queues

List all queues with their metrics

**Arguments:** \`[workspace:string] the optional workspace to filter by (default to all workspaces)\`

**Options:**
- \`--instance [instance]\` - Name of the instance to push to, override the active instance
- \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance

### resource

resource related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`resource list\` - list all resources
  - \`--json\` - Output as JSON (for piping to jq)
- \`resource get <path:string>\` - get a resource's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`resource new <path:string>\` - create a new resource locally
- \`resource push <file_path:string> <remote_path:string>\` - push a local resource spec. This overrides any remote versions.

### resource-type

resource type related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`resource-type list\` - list all resource types
  - \`--schema\` - Show schema in the output
  - \`--json\` - Output as JSON (for piping to jq)
- \`resource-type get <path:string>\` - get a resource type's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`resource-type new <name:string>\` - create a new resource type locally
- \`resource-type push <file_path:string> <name:string>\` - push a local resource spec. This overrides any remote versions.
- \`resource-type generate-namespace\` - Create a TypeScript definition file with the RT namespace generated from the resource types

### schedule

schedule related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`schedule list\` - list all schedules
  - \`--json\` - Output as JSON (for piping to jq)
- \`schedule get <path:string>\` - get a schedule's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`schedule new <path:string>\` - create a new schedule locally
- \`schedule push <file_path:string> <remote_path:string>\` - push a local schedule spec. This overrides any remote versions.

### script

script related commands

**Options:**
- \`--show-archived\` - Enable archived scripts in output
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`script list\` - list all scripts
  - \`--show-archived\` - Enable archived scripts in output
  - \`--json\` - Output as JSON (for piping to jq)
- \`script push <path:file>\` - push a local script spec. This overrides any remote versions. Use the script file (.ts, .js, .py, .sh
- \`script get <path:file>\` - get a script's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`script show <path:file>\` - show a script's content (alias for get
- \`script run <path:file>\` - run a script by path
  - \`-d --data <data:file>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-.
  - \`-s --silent\` - Do not output anything other then the final output. Useful for scripting.
- \`script preview <path:file>\` - preview a local script without deploying it. Supports both regular and codebase scripts.
  - \`-d --data <data:file>\` - Inputs specified as a JSON string or a file using @<filename> or stdin using @-.
  - \`-s --silent\` - Do not output anything other than the final output. Useful for scripting.
- \`script new <path:file> <language:string>\` - create a new script
  - \`--summary <summary:string>\` - script summary
  - \`--description <description:string>\` - script description
- \`script bootstrap <path:file> <language:string>\` - create a new script (alias for new
  - \`--summary <summary:string>\` - script summary
  - \`--description <description:string>\` - script description
- \`script generate-metadata [script:file]\` - re-generate the metadata file updating the lock and the script schema (for flows, use \`wmill flow generate-locks\`
  - \`--yes\` - Skip confirmation prompt
  - \`--dry-run\` - Perform a dry run without making changes
  - \`--lock-only\` - re-generate only the lock
  - \`--schema-only\` - re-generate only script schema
  - \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string)
  - \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account.

### sync

sync local with a remote workspaces or the opposite (push or pull)

**Subcommands:**

- \`sync pull\` - Pull any remote changes and apply them locally.
  - \`--yes\` - Pull without needing confirmation
  - \`--dry-run\` - Show changes that would be pulled without actually pushing
  - \`--plain-secrets\` - Pull secrets as plain text
  - \`--json\` - Use JSON instead of YAML
  - \`--skip-variables\` - Skip syncing variables (including secrets)
  - \`--skip-secrets\` - Skip syncing only secrets variables
  - \`--skip-resources\` - Skip syncing  resources
  - \`--skip-resource-types\` - Skip syncing  resource types
  - \`--skip-scripts\` - Skip syncing scripts
  - \`--skip-flows\` - Skip syncing flows
  - \`--skip-apps\` - Skip syncing apps
  - \`--skip-folders\` - Skip syncing folders
  - \`--skip-workspace-dependencies\` - Skip syncing workspace dependencies
  - \`--skip-scripts-metadata\` - Skip syncing scripts metadata, focus solely on logic
  - \`--include-schedules\` - Include syncing  schedules
  - \`--include-triggers\` - Include syncing triggers
  - \`--include-users\` - Include syncing users
  - \`--include-groups\` - Include syncing groups
  - \`--include-settings\` - Include syncing workspace settings
  - \`--include-key\` - Include workspace encryption key
  - \`--skip-branch-validation\` - Skip git branch validation and prompts
  - \`--json-output\` - Output results in JSON format
  - \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Overrides wmill.yaml includes
  - \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account. Overrides wmill.yaml excludes
  - \`--extra-includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Useful to still take wmill.yaml into account and act as a second pattern to satisfy
  - \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when multiple repositories exist
  - \`--promotion <branch:string>\` - Use promotionOverrides from the specified branch instead of regular overrides
  - \`--branch, --env <branch:string>\` - Override the current git branch/environment (works even outside a git repository)
- \`sync push\` - Push any local changes and apply them remotely.
  - \`--yes\` - Push without needing confirmation
  - \`--dry-run\` - Show changes that would be pushed without actually pushing
  - \`--plain-secrets\` - Push secrets as plain text
  - \`--json\` - Use JSON instead of YAML
  - \`--skip-variables\` - Skip syncing variables (including secrets)
  - \`--skip-secrets\` - Skip syncing only secrets variables
  - \`--skip-resources\` - Skip syncing  resources
  - \`--skip-resource-types\` - Skip syncing  resource types
  - \`--skip-scripts\` - Skip syncing scripts
  - \`--skip-flows\` - Skip syncing flows
  - \`--skip-apps\` - Skip syncing apps
  - \`--skip-folders\` - Skip syncing folders
  - \`--skip-workspace-dependencies\` - Skip syncing workspace dependencies
  - \`--skip-scripts-metadata\` - Skip syncing scripts metadata, focus solely on logic
  - \`--include-schedules\` - Include syncing schedules
  - \`--include-triggers\` - Include syncing triggers
  - \`--include-users\` - Include syncing users
  - \`--include-groups\` - Include syncing groups
  - \`--include-settings\` - Include syncing workspace settings
  - \`--include-key\` - Include workspace encryption key
  - \`--skip-branch-validation\` - Skip git branch validation and prompts
  - \`--json-output\` - Output results in JSON format
  - \`-i --includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string)
  - \`-e --excludes <patterns:file[]>\` - Comma separated patterns to specify which file to NOT take into account.
  - \`--extra-includes <patterns:file[]>\` - Comma separated patterns to specify which file to take into account (among files that are compatible with windmill). Patterns can include * (any string until '/') and ** (any string). Useful to still take wmill.yaml into account and act as a second pattern to satisfy
  - \`--message <message:string>\` - Include a message that will be added to all scripts/flows/apps updated during this push
  - \`--parallel <number>\` - Number of changes to process in parallel
  - \`--repository <repo:string>\` - Specify repository path (e.g., u/user/repo) when multiple repositories exist
  - \`--branch, --env <branch:string>\` - Override the current git branch/environment (works even outside a git repository)
  - \`--lint\` - Run lint validation before pushing
  - \`--locks-required\` - Fail if scripts or flow inline scripts that need locks have no locks

### trigger

trigger related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`trigger list\` - list all triggers
  - \`--json\` - Output as JSON (for piping to jq)
- \`trigger get <path:string>\` - get a trigger's details
  - \`--json\` - Output as JSON (for piping to jq)
  - \`--kind <kind:string>\` - Trigger kind (http, websocket, kafka, nats, postgres, mqtt, sqs, gcp, email). Recommended for faster lookup
- \`trigger new <path:string>\` - create a new trigger locally
  - \`--kind <kind:string>\` - Trigger kind (required: http, websocket, kafka, nats, postgres, mqtt, sqs, gcp, email)
- \`trigger push <file_path:string> <remote_path:string>\` - push a local trigger spec. This overrides any remote versions.

### user

user related commands

**Subcommands:**

- \`user add <email:string> [password:string]\` - Create a user
  - \`--superadmin\` - Specify to make the new user superadmin.
  - \`--company <company:string>\` - Specify to set the company of the new user.
  - \`--name <name:string>\` - Specify to set the name of the new user.
- \`user remove <email:string>\` - Delete a user
- \`user create-token\`
  - \`--email <email:string>\` - Specify credentials to use for authentication. This will not be stored. It will only be used to exchange for a token with the API server, which will not be stored either.
  - \`--password <password:string>\` - Specify credentials to use for authentication. This will not be stored. It will only be used to exchange for a token with the API server, which will not be stored either.

### variable

variable related commands

**Options:**
- \`--json\` - Output as JSON (for piping to jq)

**Subcommands:**

- \`variable list\` - list all variables
  - \`--json\` - Output as JSON (for piping to jq)
- \`variable get <path:string>\` - get a variable's details
  - \`--json\` - Output as JSON (for piping to jq)
- \`variable new <path:string>\` - create a new variable locally
- \`variable push <file_path:string> <remote_path:string>\` - Push a local variable spec. This overrides any remote versions.
  - \`--plain-secrets\` - Push secrets as plain text
- \`variable add <value:string> <remote_path:string>\` - Create a new variable on the remote. This will update the variable if it already exists.
  - \`--plain-secrets\` - Push secrets as plain text
  - \`--public\` - Legacy option, use --plain-secrets instead

### version

Show version information

### worker-groups

display worker groups, pull and push worker groups configs

**Subcommands:**

- \`worker-groups pull\` - Pull worker groups (similar to \`wmill instance pull --skip-users --skip-settings --skip-groups\`)
  - \`--instance\` - Name of the instance to push to, override the active instance
  - \`--base-url\` - Base url to be passed to the instance settings instead of the local one
  - \`--yes\` - Pull without needing confirmation
- \`worker-groups push\` - Push instance settings, users, configs, group and overwrite remote
  - \`--instance [instance]\` - Name of the instance to push to, override the active instance
  - \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance
  - \`--yes\` - Push without needing confirmation

### workers

List all workers grouped by worker groups

**Options:**
- \`--instance [instance]\` - Name of the instance to push to, override the active instance
- \`--base-url [baseUrl]\` - If used with --token, will be used as the base url for the instance

### workspace

workspace related commands

**Alias:** \`profile\`

**Subcommands:**

- \`workspace switch <workspace_name:string:workspace>\` - Switch to another workspace
- \`workspace add [workspace_name:string] [workspace_id:string] [remote:string]\` - Add a workspace
  - \`-c --create\` - Create the workspace if it does not exist
  - \`--create-workspace-name <workspace_name:string>\` - Specify the workspace name. Ignored if --create is not specified or the workspace already exists. Will default to the workspace id.
  - \`--create-username <username:string>\` - Specify your own username in the newly created workspace. Ignored if --create is not specified, the workspace already exists or automatic username creation is enabled on the instance.
- \`workspace remove <workspace_name:string>\` - Remove a workspace
- \`workspace whoami\` - Show the currently active user
- \`workspace list\` - List local workspace profiles
- \`workspace list-remote\` - List workspaces on the remote server that you have access to
- \`workspace bind\` - Bind the current Git branch to the active workspace
  - \`--branch, --env <branch:string>\` - Specify branch/environment (defaults to current)
- \`workspace unbind\` - Remove workspace binding from the current Git branch
  - \`--branch, --env <branch:string>\` - Specify branch/environment (defaults to current)
- \`workspace fork [workspace_name:string] [workspace_id:string]\` - Create a forked workspace
  - \`--create-workspace-name <workspace_name:string>\` - Specify the workspace name. Ignored if --create is not specified or the workspace already exists. Will default to the workspace id.
- \`workspace delete-fork <fork_name:string>\` - Delete a forked workspace and git branch
  - \`-y --yes\` - Skip confirmation prompt

`;

export const LANG_BASH = `# Bash

## Structure

Do not include \`#!/bin/bash\`. Arguments are obtained as positional parameters:

\`\`\`bash
# Get arguments
var1="$1"
var2="$2"

echo "Processing $var1 and $var2"

# Return JSON by echoing to stdout
echo "{\\"result\\": \\"$var1\\", \\"count\\": $var2}"
\`\`\`

**Important:**
- Do not include shebang (\`#!/bin/bash\`)
- Arguments are always strings
- Access with \`$1\`, \`$2\`, etc.

## Output

The script output is captured as the result. For structured data, output valid JSON:

\`\`\`bash
name="$1"
count="$2"

# Output JSON result
cat << EOF
{
  "name": "$name",
  "count": $count,
  "timestamp": "$(date -Iseconds)"
}
EOF
\`\`\`

## Environment Variables

Environment variables set in Windmill are available:

\`\`\`bash
# Access environment variable
echo "Workspace: $WM_WORKSPACE"
echo "Job ID: $WM_JOB_ID"
\`\`\`
`;

export const LANG_BIGQUERY = `# BigQuery

Arguments use \`@name\` syntax.

Name the parameters by adding comments before the statement:

\`\`\`sql
-- @name1 (string)
-- @name2 (int64) = 0
SELECT * FROM users WHERE name = @name1 AND age > @name2;
\`\`\`
`;

export const LANG_BUN = `# TypeScript (Bun)

Bun runtime with full npm ecosystem and fastest execution.

## Structure

Export a single **async** function called \`main\`:

\`\`\`typescript
export async function main(param1: string, param2: number) {
  // Your code here
  return { result: param1, count: param2 };
}
\`\`\`

Do not call the main function. Libraries are installed automatically.

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

Use the \`RT\` namespace for resource types:

\`\`\`typescript
export async function main(stripe: RT.Stripe) {
  // stripe contains API key and config from the resource
}
\`\`\`

Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.

Before using a resource type, check the \`rt.d.ts\` file in the project root to see all available resource types and their fields. This file is generated by \`wmill resource-type generate-namespace\`.

## Imports

\`\`\`typescript
import Stripe from "stripe";
import { someFunction } from "some-package";
\`\`\`

## Windmill Client

Import the windmill client for platform interactions:

\`\`\`typescript
import * as wmill from "windmill-client";
\`\`\`

See the SDK documentation for available methods.

## Preprocessor Scripts

For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:

\`\`\`typescript
type Event = {
  kind:
    | "webhook"
    | "http"
    | "websocket"
    | "kafka"
    | "email"
    | "nats"
    | "postgres"
    | "sqs"
    | "mqtt"
    | "gcp";
  body: any;
  headers: Record<string, string>;
  query: Record<string, string>;
};

export async function preprocessor(event: Event) {
  return {
    param1: event.body.field1,
    param2: event.query.id,
  };
}
\`\`\`

## S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations.

### S3Object Type

The S3Object type represents a file in S3 storage:

\`\`\`typescript
type S3Object = {
  s3: string; // Path within the bucket
};
\`\`\`

## TypeScript Operations

\`\`\`typescript
import * as wmill from "windmill-client";

// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);

// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);

// Write file to S3
const result: S3Object = await wmill.writeS3File(
  s3object, // Target path (or undefined to auto-generate)
  fileContent, // string or Blob
  s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;

export const LANG_BUNNATIVE = `# TypeScript (Bun Native)

Native TypeScript execution with fetch only - no external imports allowed.

## Structure

Export a single **async** function called \`main\`:

\`\`\`typescript
export async function main(param1: string, param2: number) {
  // Your code here
  return { result: param1, count: param2 };
}
\`\`\`

Do not call the main function.

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

Use the \`RT\` namespace for resource types:

\`\`\`typescript
export async function main(stripe: RT.Stripe) {
  // stripe contains API key and config from the resource
}
\`\`\`

Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.

Before using a resource type, check the \`rt.d.ts\` file in the project root to see all available resource types and their fields. This file is generated by \`wmill resource-type generate-namespace\`.

## Imports

**No imports allowed.** Use the globally available \`fetch\` function:

\`\`\`typescript
export async function main(url: string) {
  const response = await fetch(url);
  return await response.json();
}
\`\`\`

## Windmill Client

The windmill client is not available in native TypeScript mode. Use fetch to call APIs directly.

## Preprocessor Scripts

For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:

\`\`\`typescript
type Event = {
  kind:
    | "webhook"
    | "http"
    | "websocket"
    | "kafka"
    | "email"
    | "nats"
    | "postgres"
    | "sqs"
    | "mqtt"
    | "gcp";
  body: any;
  headers: Record<string, string>;
  query: Record<string, string>;
};

export async function preprocessor(event: Event) {
  return {
    param1: event.body.field1,
    param2: event.query.id,
  };
}
\`\`\`

## S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations.

### S3Object Type

The S3Object type represents a file in S3 storage:

\`\`\`typescript
type S3Object = {
  s3: string; // Path within the bucket
};
\`\`\`

## TypeScript Operations

\`\`\`typescript
import * as wmill from "windmill-client";

// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);

// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);

// Write file to S3
const result: S3Object = await wmill.writeS3File(
  s3object, // Target path (or undefined to auto-generate)
  fileContent, // string or Blob
  s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;

export const LANG_CSHARP = `# C#

The script must contain a public static \`Main\` method inside a class:

\`\`\`csharp
public class Script
{
    public static object Main(string name, int count)
    {
        return new { Name = name, Count = count };
    }
}
\`\`\`

**Important:**
- Class name is irrelevant
- Method must be \`public static\`
- Return type can be \`object\` or specific type

## NuGet Packages

Add packages using the \`#r\` directive at the top:

\`\`\`csharp
#r "nuget: Newtonsoft.Json, 13.0.3"
#r "nuget: RestSharp, 110.2.0"

using Newtonsoft.Json;
using RestSharp;

public class Script
{
    public static object Main(string url)
    {
        var client = new RestClient(url);
        var request = new RestRequest();
        var response = client.Get(request);
        return JsonConvert.DeserializeObject(response.Content);
    }
}
\`\`\`
`;

export const LANG_DENO = `# TypeScript (Deno)

Deno runtime with npm support via \`npm:\` prefix and native Deno libraries.

## Structure

Export a single **async** function called \`main\`:

\`\`\`typescript
export async function main(param1: string, param2: number) {
  // Your code here
  return { result: param1, count: param2 };
}
\`\`\`

Do not call the main function. Libraries are installed automatically.

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

Use the \`RT\` namespace for resource types:

\`\`\`typescript
export async function main(stripe: RT.Stripe) {
  // stripe contains API key and config from the resource
}
\`\`\`

Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.

Before using a resource type, check the \`rt.d.ts\` file in the project root to see all available resource types and their fields. This file is generated by \`wmill resource-type generate-namespace\`.

## Imports

\`\`\`typescript
// npm packages use npm: prefix
import Stripe from "npm:stripe";
import { someFunction } from "npm:some-package";

// Deno standard library
import { serve } from "https://deno.land/std/http/server.ts";
\`\`\`

## Windmill Client

Import the windmill client for platform interactions:

\`\`\`typescript
import * as wmill from "windmill-client";
\`\`\`

See the SDK documentation for available methods.

## Preprocessor Scripts

For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:

\`\`\`typescript
type Event = {
  kind:
    | "webhook"
    | "http"
    | "websocket"
    | "kafka"
    | "email"
    | "nats"
    | "postgres"
    | "sqs"
    | "mqtt"
    | "gcp";
  body: any;
  headers: Record<string, string>;
  query: Record<string, string>;
};

export async function preprocessor(event: Event) {
  return {
    param1: event.body.field1,
    param2: event.query.id,
  };
}
\`\`\`

## S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations.

### S3Object Type

The S3Object type represents a file in S3 storage:

\`\`\`typescript
type S3Object = {
  s3: string; // Path within the bucket
};
\`\`\`

## TypeScript Operations

\`\`\`typescript
import * as wmill from "windmill-client";

// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);

// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);

// Write file to S3
const result: S3Object = await wmill.writeS3File(
  s3object, // Target path (or undefined to auto-generate)
  fileContent, // string or Blob
  s3ResourcePath // Optional: specific S3 resource to use
);
\`\`\`
`;

export const LANG_DUCKDB = `# DuckDB

Arguments are defined with comments and used with \`$name\` syntax:

\`\`\`sql
-- $name (text) = default
-- $age (integer)
SELECT * FROM users WHERE name = $name AND age > $age;
\`\`\`

## Ducklake Integration

Attach Ducklake for data lake operations:

\`\`\`sql
-- Main ducklake
ATTACH 'ducklake' AS dl;

-- Named ducklake
ATTACH 'ducklake://my_lake' AS dl;

-- Then query
SELECT * FROM dl.schema.table;
\`\`\`

## External Database Connections

Connect to external databases using resources:

\`\`\`sql
ATTACH '$res:path/to/resource' AS db (TYPE postgres);
SELECT * FROM db.schema.table;
\`\`\`

## S3 File Operations

Read files from S3 storage:

\`\`\`sql
-- Default storage
SELECT * FROM read_csv('s3:///path/to/file.csv');

-- Named storage
SELECT * FROM read_csv('s3://storage_name/path/to/file.csv');

-- Parquet files
SELECT * FROM read_parquet('s3:///path/to/file.parquet');

-- JSON files
SELECT * FROM read_json('s3:///path/to/file.json');
\`\`\`
`;

export const LANG_GO = `# Go

## Structure

The file package must be \`inner\` and export a function called \`main\`:

\`\`\`go
package inner

func main(param1 string, param2 int) (map[string]interface{}, error) {
    return map[string]interface{}{
        "result": param1,
        "count":  param2,
    }, nil
}
\`\`\`

**Important:**
- Package must be \`inner\`
- Return type must be \`({return_type}, error)\`
- Function name is \`main\` (lowercase)

## Return Types

The return type can be any Go type that can be serialized to JSON:

\`\`\`go
package inner

type Result struct {
    Name  string \`json:"name"\`
    Count int    \`json:"count"\`
}

func main(name string, count int) (Result, error) {
    return Result{
        Name:  name,
        Count: count,
    }, nil
}
\`\`\`

## Error Handling

Return errors as the second return value:

\`\`\`go
package inner

import "errors"

func main(value int) (string, error) {
    if value < 0 {
        return "", errors.New("value must be positive")
    }
    return "success", nil
}
\`\`\`
`;

export const LANG_GRAPHQL = `# GraphQL

## Structure

Write GraphQL queries or mutations. Arguments can be added as query parameters:

\`\`\`graphql
query GetUser($id: ID!) {
  user(id: $id) {
    id
    name
    email
  }
}
\`\`\`

## Variables

Variables are passed as script arguments and automatically bound to the query:

\`\`\`graphql
query SearchProducts($query: String!, $limit: Int = 10) {
  products(search: $query, first: $limit) {
    edges {
      node {
        id
        name
        price
      }
    }
  }
}
\`\`\`

## Mutations

\`\`\`graphql
mutation CreateUser($input: CreateUserInput!) {
  createUser(input: $input) {
    id
    name
    createdAt
  }
}
\`\`\`
`;

export const LANG_JAVA = `# Java

The script must contain a Main public class with a \`public static main()\` method:

\`\`\`java
public class Main {
    public static Object main(String name, int count) {
        java.util.Map<String, Object> result = new java.util.HashMap<>();
        result.put("name", name);
        result.put("count", count);
        return result;
    }
}
\`\`\`

**Important:**
- Class must be named \`Main\`
- Method must be \`public static Object main(...)\`
- Return type is \`Object\` or \`void\`

## Maven Dependencies

Add dependencies using comments at the top:

\`\`\`java
//requirements:
//com.google.code.gson:gson:2.10.1
//org.apache.httpcomponents:httpclient:4.5.14

import com.google.gson.Gson;

public class Main {
    public static Object main(String input) {
        Gson gson = new Gson();
        return gson.fromJson(input, Object.class);
    }
}
\`\`\`
`;

export const LANG_MSSQL = `# Microsoft SQL Server (MSSQL)

Arguments use \`@P1\`, \`@P2\`, etc.

Name the parameters by adding comments before the statement:

\`\`\`sql
-- @P1 name1 (varchar)
-- @P2 name2 (int) = 0
SELECT * FROM users WHERE name = @P1 AND age > @P2;
\`\`\`
`;

export const LANG_MYSQL = `# MySQL

Arguments use \`?\` placeholders.

Name the parameters by adding comments before the statement:

\`\`\`sql
-- ? name1 (text)
-- ? name2 (int) = 0
SELECT * FROM users WHERE name = ? AND age > ?;
\`\`\`
`;

export const LANG_NATIVETS = `# TypeScript (Native)

Native TypeScript execution with fetch only - no external imports allowed.

## Structure

Export a single **async** function called \`main\`:

\`\`\`typescript
export async function main(param1: string, param2: number) {
  // Your code here
  return { result: param1, count: param2 };
}
\`\`\`

Do not call the main function.

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

Use the \`RT\` namespace for resource types:

\`\`\`typescript
export async function main(stripe: RT.Stripe) {
  // stripe contains API key and config from the resource
}
\`\`\`

Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.

Before using a resource type, check the \`rt.d.ts\` file in the project root to see all available resource types and their fields. This file is generated by \`wmill resource-type generate-namespace\`.

## Imports

**No imports allowed.** Use the globally available \`fetch\` function:

\`\`\`typescript
export async function main(url: string) {
  const response = await fetch(url);
  return await response.json();
}
\`\`\`

## Windmill Client

The windmill client is not available in native TypeScript mode. Use fetch to call APIs directly.

## Preprocessor Scripts

For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:

\`\`\`typescript
type Event = {
  kind:
    | "webhook"
    | "http"
    | "websocket"
    | "kafka"
    | "email"
    | "nats"
    | "postgres"
    | "sqs"
    | "mqtt"
    | "gcp";
  body: any;
  headers: Record<string, string>;
  query: Record<string, string>;
};

export async function preprocessor(event: Event) {
  return {
    param1: event.body.field1,
    param2: event.query.id
  };
}
\`\`\`
`;

export const LANG_PHP = `# PHP

## Structure

The script must start with \`<?php\` and contain at least one function called \`main\`:

\`\`\`php
<?php

function main(string $param1, int $param2) {
    return ["result" => $param1, "count" => $param2];
}
\`\`\`

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

You need to **redefine** the type of the resources that are needed before the main function. Always check if the class already exists using \`class_exists\`:

\`\`\`php
<?php

if (!class_exists('Postgresql')) {
    class Postgresql {
        public string $host;
        public int $port;
        public string $user;
        public string $password;
        public string $dbname;
    }
}

function main(Postgresql $db) {
    // $db contains the database connection details
}
\`\`\`

The resource type name has to be exactly as specified.

## Library Dependencies

Specify library dependencies as comments before the main function:

\`\`\`php
<?php

// require:
// guzzlehttp/guzzle
// stripe/stripe-php@^10.0

function main() {
    // Libraries are available
}
\`\`\`

One dependency per line. No need to require autoload, it is already done.
`;

export const LANG_POSTGRESQL = `# PostgreSQL

Arguments are obtained directly in the statement with \`$1::{type}\`, \`$2::{type}\`, etc.

Name the parameters by adding comments at the beginning of the script (without specifying the type):

\`\`\`sql
-- $1 name1
-- $2 name2 = default_value
SELECT * FROM users WHERE name = $1::TEXT AND age > $2::INT;
\`\`\`
`;

export const LANG_POWERSHELL = `# PowerShell

## Structure

Arguments are obtained by calling the \`param\` function on the first line:

\`\`\`powershell
param($Name, $Count = 0, [int]$Age)

# Your code here
Write-Output "Processing $Name, count: $Count, age: $Age"

# Return object
@{
    name = $Name
    count = $Count
    age = $Age
}
\`\`\`

## Parameter Types

You can specify types for parameters:

\`\`\`powershell
param(
    [string]$Name,
    [int]$Count = 0,
    [bool]$Enabled = $true,
    [array]$Items
)

@{
    name = $Name
    count = $Count
    enabled = $Enabled
    items = $Items
}
\`\`\`

## Return Values

Return values by outputting them at the end of the script:

\`\`\`powershell
param($Input)

$result = @{
    processed = $true
    data = $Input
    timestamp = Get-Date -Format "o"
}

$result
\`\`\`
`;

export const LANG_PYTHON3 = `# Python

## Structure

The script must contain at least one function called \`main\`:

\`\`\`python
def main(param1: str, param2: int):
    # Your code here
    return {"result": param1, "count": param2}
\`\`\`

Do not call the main function. Libraries are installed automatically.

## Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

You need to **redefine** the type of the resources that are needed before the main function as TypedDict:

\`\`\`python
from typing import TypedDict

class postgresql(TypedDict):
    host: str
    port: int
    user: str
    password: str
    dbname: str

def main(db: postgresql):
    # db contains the database connection details
    pass
\`\`\`

**Important rules:**

- The resource type name must be **IN LOWERCASE**
- Only include resource types if they are actually needed
- If an import conflicts with a resource type name, **rename the imported object, not the type name**
- Make sure to import TypedDict from typing **if you're using it**

## Imports

Libraries are installed automatically. Do not show installation instructions.

\`\`\`python
import requests
import pandas as pd
from datetime import datetime
\`\`\`

If an import name conflicts with a resource type:

\`\`\`python
# Wrong - don't rename the type
import stripe as stripe_lib
class stripe_type(TypedDict): ...

# Correct - rename the import
import stripe as stripe_sdk
class stripe(TypedDict):
    api_key: str
\`\`\`

## Windmill Client

Import the windmill client for platform interactions:

\`\`\`python
import wmill
\`\`\`

See the SDK documentation for available methods.

## Preprocessor Scripts

For preprocessor scripts, the function should be named \`preprocessor\` and receives an \`event\` parameter:

\`\`\`python
from typing import TypedDict, Literal, Any

class Event(TypedDict):
    kind: Literal["webhook", "http", "websocket", "kafka", "email", "nats", "postgres", "sqs", "mqtt", "gcp"]
    body: Any
    headers: dict[str, str]
    query: dict[str, str]

def preprocessor(event: Event):
    # Transform the event into flow input parameters
    return {
        "param1": event["body"]["field1"],
        "param2": event["query"]["id"]
    }
\`\`\`

## S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations.

\`\`\`python
import wmill

# Load file content from S3
content: bytes = wmill.load_s3_file(s3object)

# Load file as stream reader
reader: BufferedReader = wmill.load_s3_file_reader(s3object)

# Write file to S3
result: S3Object = wmill.write_s3_file(
    s3object,           # Target path (or None to auto-generate)
    file_content,       # bytes or BufferedReader
    s3_resource_path,   # Optional: specific S3 resource
    content_type,       # Optional: MIME type
    content_disposition # Optional: Content-Disposition header
)
\`\`\`
`;

export const LANG_RUST = `# Rust

## Structure

The script must contain a function called \`main\` with proper return type:

\`\`\`rust
use anyhow::anyhow;
use serde::Serialize;

#[derive(Serialize, Debug)]
struct ReturnType {
    result: String,
    count: i32,
}

fn main(param1: String, param2: i32) -> anyhow::Result<ReturnType> {
    Ok(ReturnType {
        result: param1,
        count: param2,
    })
}
\`\`\`

**Important:**
- Arguments should be owned types
- Return type must be serializable (\`#[derive(Serialize)]\`)
- Return type is \`anyhow::Result<T>\`

## Dependencies

Packages must be specified with a partial cargo.toml at the beginning of the script:

\`\`\`rust
//! \`\`\`cargo
//! [dependencies]
//! anyhow = "1.0.86"
//! reqwest = { version = "0.11", features = ["json"] }
//! tokio = { version = "1", features = ["full"] }
//! \`\`\`

use anyhow::anyhow;
// ... rest of the code
\`\`\`

**Note:** Serde is already included, no need to add it again.

## Async Functions

If you need to handle async functions (e.g., using tokio), keep the main function sync and create the runtime inside:

\`\`\`rust
//! \`\`\`cargo
//! [dependencies]
//! anyhow = "1.0.86"
//! tokio = { version = "1", features = ["full"] }
//! reqwest = { version = "0.11", features = ["json"] }
//! \`\`\`

use anyhow::anyhow;
use serde::Serialize;

#[derive(Serialize, Debug)]
struct Response {
    data: String,
}

fn main(url: String) -> anyhow::Result<Response> {
    let rt = tokio::runtime::Runtime::new()?;
    rt.block_on(async {
        let resp = reqwest::get(&url).await?.text().await?;
        Ok(Response { data: resp })
    })
}
\`\`\`
`;

export const LANG_SNOWFLAKE = `# Snowflake

Arguments use \`?\` placeholders.

Name the parameters by adding comments before the statement:

\`\`\`sql
-- ? name1 (text)
-- ? name2 (number) = 0
SELECT * FROM users WHERE name = ? AND age > ?;
\`\`\`
`;