QuickAdd API

The QuickAdd API provides a powerful interface for automating tasks in Obsidian through scripts, macros, and inline scripts. The API offers methods for user interaction, file manipulation, AI integration, and more.

Accessing the API

The API can be accessed in several ways:

From QuickAdd Scripts (Macros/User Scripts)

module.exports = async (params) => {
    const { quickAddApi, app, variables } = params;
    // Use quickAddApi here
};

From Other Plugins/Scripts

const quickAddApi = app.plugins.plugins.quickadd.api;
// Use the API methods

From Templater Scripts

<%*
const quickAddApi = app.plugins.plugins.quickadd.api;
const result = await quickAddApi.inputPrompt("Enter value:");
tR += result;
%>

User Input Methods

`inputPrompt(header: string, placeholder?: string, value?: string): Promise<string>`

Opens a prompt that asks for text input.

Parameters:

header: The prompt title/question
placeholder: (Optional) Placeholder text in the input field
value: (Optional) Default value

Returns: Promise resolving to the entered string, or null if cancelled

Example:

const name = await quickAddApi.inputPrompt(
    "What's your name?",
    "Enter your full name",
    "John Doe"
);

if (name) {
    console.log(`Hello, ${name}!`);
}

`wideInputPrompt(header: string, placeholder?: string, value?: string): Promise<string>`

Opens a wider prompt for longer text input (multi-line).

Parameters: Same as inputPrompt

Returns: Promise resolving to the entered string, or null if cancelled

Example:

const description = await quickAddApi.wideInputPrompt(
    "Project Description",
    "Enter a detailed description...",
    "This project aims to..."
);

`yesNoPrompt(header: string, text?: string): Promise<boolean>`

Opens a confirmation dialog with Yes/No buttons.

Parameters:

header: The dialog title
text: (Optional) Additional explanation text

Returns: Promise resolving to true (Yes) or false (No)

Example:

const confirmed = await quickAddApi.yesNoPrompt(
    "Delete Note?",
    "This action cannot be undone."
);

if (confirmed) {
    // Proceed with deletion
}

`infoDialog(header: string, text: string[] | string): Promise<void>`

Shows an information dialog with an OK button.

Parameters:

header: Dialog title
text: Single string or array of strings (for multiple lines)

Example:

await quickAddApi.infoDialog(
    "Operation Complete",
    [
        "Files processed: 10",
        "Errors: 0",
        "Time taken: 2.5 seconds"
    ]
);

`suggester(displayItems: string[] | Function, actualItems: string[]): Promise<string>`

Opens a selection prompt with searchable options.

Parameters:

displayItems: Array of display strings OR a map function
actualItems: Array of actual values to return

Returns: Promise resolving to the selected value, or null if cancelled

Examples:

Basic usage:

const fruit = await quickAddApi.suggester(
    ["🍎 Apple", "🍌 Banana", "🍊 Orange"],
    ["apple", "banana", "orange"]
);

With map function:

const files = app.vault.getMarkdownFiles();
const selectedFile = await quickAddApi.suggester(
    file => file.basename,  // Display just the filename
    files                   // Return the full file object
);

Complex objects:

const tasks = [
    { id: 1, title: "Task 1", priority: "high" },
    { id: 2, title: "Task 2", priority: "low" }
];

const selectedTask = await quickAddApi.suggester(
    task => `${task.title} (${task.priority})`,
    tasks
);

`checkboxPrompt(items: string[], selectedItems?: string[]): Promise<string[]>`

Opens a checkbox prompt allowing multiple selections.

Parameters:

items: Array of options to display
selectedItems: (Optional) Array of pre-selected items

Returns: Promise resolving to array of selected items

Example:

const features = await quickAddApi.checkboxPrompt(
    ["Dark Mode", "Auto-save", "Spell Check", "Line Numbers"],
    ["Auto-save", "Line Numbers"]  // Pre-selected
);

console.log("Enabled features:", features);

Choice Execution

`executeChoice(choiceName: string, variables?: {[key: string]: any}): Promise<void>`

Executes another QuickAdd choice programmatically.

Parameters:

choiceName: Name of the choice to execute
variables: (Optional) Variables to pass to the choice

Example:

// Execute a template choice with variables
await quickAddApi.executeChoice("Create Meeting Note", {
    meetingTitle: "Project Review",
    attendees: "John, Jane, Bob",
    date: "2024-01-15",
    value: "Main agenda content"  // Special: maps to {{VALUE}}
});

Batch processing example:

const contacts = [
    { name: "John Doe", email: "john@example.com", company: "ACME" },
    { name: "Jane Smith", email: "jane@example.com", company: "Tech Corp" }
];

for (const contact of contacts) {
    await quickAddApi.executeChoice("Create Contact", {
        contactName: contact.name,
        contactEmail: contact.email,
        contactCompany: contact.company
    });
}

Utility Module

Access via quickAddApi.utility:

`getClipboard(): Promise<string>`

Gets the current clipboard contents.

Example:

const clipboardText = await quickAddApi.utility.getClipboard();
console.log("Clipboard contains:", clipboardText);

`setClipboard(text: string): Promise<void>`

Sets the clipboard contents.

Example:

await quickAddApi.utility.setClipboard("Hello, World!");

Combined example:

// Transform clipboard contents
const original = await quickAddApi.utility.getClipboard();
const transformed = original.toUpperCase();
await quickAddApi.utility.setClipboard(transformed);

Date Module

Access via quickAddApi.date:

`now(format?: string, offset?: number): string`

Gets formatted current date/time.

Parameters:

format: (Optional) Moment.js format string, defaults to "YYYY-MM-DD"
offset: (Optional) Day offset (negative for past, positive for future)

Examples:

// Current date
const today = quickAddApi.date.now();  // "2024-01-15"

// Custom format
const timestamp = quickAddApi.date.now("YYYY-MM-DD HH:mm:ss");

// With offset
const nextWeek = quickAddApi.date.now("YYYY-MM-DD", 7);
const lastMonth = quickAddApi.date.now("YYYY-MM-DD", -30);

`tomorrow(format?: string): string`

Shorthand for now(format, 1).

`yesterday(format?: string): string`

Shorthand for now(format, -1).

Example:

const yesterdayLog = `Daily Notes/${quickAddApi.date.yesterday()}.md`;
const tomorrowTask = `Tasks for ${quickAddApi.date.tomorrow("dddd, MMMM D")}`;

AI Module

Access via quickAddApi.ai:

`prompt(prompt: string, model: string, settings?: object): Promise<object>`

Sends a prompt to an AI model and returns the response.

Parameters:

prompt: The prompt text
model: Model name (e.g., "gpt-4", "gpt-3.5-turbo")
settings: (Optional) Configuration object:
- variableName: Output variable name (default: "output")
- shouldAssignVariables: Auto-assign to variables (default: false)
- modelOptions: Model parameters (temperature, max_tokens, etc.)
- showAssistantMessages: Show AI responses in UI (default: true)
- systemPrompt: Override system prompt

Returns: Object with:

[variableName]: The AI response
[variableName]-quoted: The response in markdown quote format

Example:

const result = await quickAddApi.ai.prompt(
    "Summarize this text: " + noteContent,
    "gpt-4",
    {
        variableName: "summary",
        modelOptions: {
            temperature: 0.3,
            max_tokens: 150
        }
    }
);

console.log(result.summary);
// Use in template: {{VALUE:summary}}

`getModels(): string[]`

Returns available AI models.

Example:

const models = quickAddApi.ai.getModels();
const selectedModel = await quickAddApi.suggester(models, models);

`getMaxTokens(model: string): number`

Gets the maximum token limit for a model.

`countTokens(text: string, model: string): number`

Counts tokens in text according to model's tokenization.

Example:

const text = await quickAddApi.utility.getClipboard();
const tokenCount = quickAddApi.ai.countTokens(text, "gpt-4");

if (tokenCount > 4000) {
    await quickAddApi.infoDialog(
        "Text Too Long",
        `The text contains ${tokenCount} tokens, which exceeds the model limit.`
    );
}

Complete Example: Research Assistant

Here's a comprehensive example combining multiple API features:

module.exports = async (params) => {
    const { quickAddApi, app, variables } = params;
    
    try {
        // Get research parameters
        const topic = await quickAddApi.inputPrompt("Research Topic:");
        if (!topic) return;
        
        const sources = await quickAddApi.checkboxPrompt(
            ["Web Search", "Academic Papers", "Books", "Videos"],
            ["Web Search", "Academic Papers"]
        );
        
        // AI-assisted outline generation
        const { outline } = await quickAddApi.ai.prompt(
            `Create a research outline for: ${topic}`,
            "gpt-4",
            {
                variableName: "outline",
                shouldAssignVariables: true,
                modelOptions: { temperature: 0.7 }
            }
        );
        
        // Create folder structure
        const folder = `Research/${topic}`;
        
        // Check if folder exists before creating
        try {
            const folderExists = await app.vault.adapter.exists(folder);
            if (!folderExists) {
                await app.vault.createFolder(folder);
            }
        } catch (err) {
            console.error(`Failed to create folder: ${err}`);
            new Notice(`Failed to create research folder: ${err.message}`);
            return;
        }
        
        // Set variables for templates
        variables.topic = topic;
        variables.sources = sources.join(", ");
        variables.date = quickAddApi.date.now("YYYY-MM-DD HH:mm");
        variables.outline = outline;
        
        // Execute template choice
        await quickAddApi.executeChoice("Research Template", variables);
        
        // Show completion
        await quickAddApi.infoDialog(
            "Research Project Created",
            [
                `Topic: ${topic}`,
                `Sources: ${sources.length} selected`,
                `Location: ${folder}`,
                "AI outline generated successfully"
            ]
        );
        
    } catch (error) {
        console.error("Research assistant error:", error);
        new Notice(`Error: ${error.message}`);
    }
};

Error Handling Best Practices

Always wrap API calls in try-catch blocks:

module.exports = async (params) => {
    const { quickAddApi } = params;
    
    try {
        const input = await quickAddApi.inputPrompt("Enter value:");
        
        if (!input) {
            // User cancelled - handle gracefully
            return;
        }
        
        // Process input...
        
    } catch (error) {
        console.error("Script error:", error);
        
        await quickAddApi.infoDialog(
            "Error",
            `An error occurred: ${error.message}`
        );
    }
};

Performance Tips

Batch Operations: Use loops wisely to avoid overwhelming the system
Debounce User Input: Add delays between rapid operations
Check File Existence: Verify files exist before operations
Validate Input: Always validate user input before processing

Accessing the API​

From QuickAdd Scripts (Macros/User Scripts)​

From Other Plugins/Scripts​

From Templater Scripts​

User Input Methods​

inputPrompt(header: string, placeholder?: string, value?: string): Promise<string>​

wideInputPrompt(header: string, placeholder?: string, value?: string): Promise<string>​

yesNoPrompt(header: string, text?: string): Promise<boolean>​

infoDialog(header: string, text: string[] | string): Promise<void>​

suggester(displayItems: string[] | Function, actualItems: string[]): Promise<string>​

checkboxPrompt(items: string[], selectedItems?: string[]): Promise<string[]>​

Choice Execution​

executeChoice(choiceName: string, variables?: {[key: string]: any}): Promise<void>​

Utility Module​

getClipboard(): Promise<string>​

setClipboard(text: string): Promise<void>​

Date Module​

now(format?: string, offset?: number): string​

tomorrow(format?: string): string​

yesterday(format?: string): string​

AI Module​

prompt(prompt: string, model: string, settings?: object): Promise<object>​

getModels(): string[]​

getMaxTokens(model: string): number​

countTokens(text: string, model: string): number​

Complete Example: Research Assistant​

Error Handling Best Practices​

Performance Tips​

See Also​

Accessing the API

From QuickAdd Scripts (Macros/User Scripts)

From Other Plugins/Scripts

From Templater Scripts

User Input Methods

`inputPrompt(header: string, placeholder?: string, value?: string): Promise<string>`

`wideInputPrompt(header: string, placeholder?: string, value?: string): Promise<string>`

`yesNoPrompt(header: string, text?: string): Promise<boolean>`

`infoDialog(header: string, text: string[] | string): Promise<void>`

`suggester(displayItems: string[] | Function, actualItems: string[]): Promise<string>`

`checkboxPrompt(items: string[], selectedItems?: string[]): Promise<string[]>`

Choice Execution

`executeChoice(choiceName: string, variables?: {[key: string]: any}): Promise<void>`

Utility Module

`getClipboard(): Promise<string>`

`setClipboard(text: string): Promise<void>`

Date Module

`now(format?: string, offset?: number): string`

`tomorrow(format?: string): string`

`yesterday(format?: string): string`

AI Module

`prompt(prompt: string, model: string, settings?: object): Promise<object>`

`getModels(): string[]`

`getMaxTokens(model: string): number`

`countTokens(text: string, model: string): number`

Complete Example: Research Assistant

Error Handling Best Practices

Performance Tips

See Also