Smart Tables SDK - Odin AI Docs

The SmartTablesSDK provides a comprehensive solution for managing structured data tables with advanced querying, filtering, sorting, and data manipulation capabilities. Build powerful data management applications with ease, featuring support for custom views, data import/export, and AI-powered data processing.

Installation

npm install @odin-ai-staging/sdk

Quick Start

In this example, you will learn how to use the SmartTablesSDK to programmatically create and manage structured data tables through the Odin AI API. You start by initializing the SDK with your API credentials (base URL, project ID, API key, and secret), then follow a straightforward workflow to build a functional database: first, you create a new table with createTable() by providing a name and description (in this case, “Customer Database”), then you define the table’s structure by adding columns with addColumn(), specifying each column’s name, data type (like ‘text’ or ‘email’), and description. Once your table structure is set up, you can populate it with data using addRow() to insert records as key-value pairs, and finally query your data with queryTable(), which supports filtering (using operators like ‘contains’), pagination, and other query parameters to retrieve exactly the data you need. This gives you a complete programmatic solution for creating database-like structures with AI-powered capabilities, perfect for building dynamic data management systems, CRM tools, or any application where you need to store, organize, and query structured information through an API—all without managing traditional database infrastructure.

import { SmartTablesSDK } from '@odin-ai-staging/sdk';

// Initialize the SDK
const smartTablesSDK = new SmartTablesSDK({
  baseUrl: 'https://your-api-endpoint.com/',
  projectId: 'your-project-id',
  apiKey: 'your-api-key',
  apiSecret: 'your-api-secret'
});

// Quick example: Create table and add data
async function quickExample() {
  // Create a new table
  const table = await smartTablesSDK.createTable(
    'Customer Database',
    'Manage customer information'
  );
  
  // Add columns
  await smartTablesSDK.addColumn(table.id, {
    name: 'name',
    type: 'text',
    description: 'Customer name'
  });
  
  await smartTablesSDK.addColumn(table.id, {
    name: 'email',
    type: 'email',
    description: 'Customer email address'
  });
  
  // Add data
  await smartTablesSDK.addRow(table.id, {
    name: 'John Doe',
    email: 'john@example.com'
  });
  
  // Query data
  const results = await smartTablesSDK.queryTable(table.id, {
    filters: [{ column: 'name', operator: 'contains', value: 'John' }],
    pagination: { limit: 10, page: 1 }
  });
  
  console.log('Query results:', results.data);
}

Configuration

SmartTablesSDKConfig Interface

interface SmartTablesSDKConfig {
  baseUrl: string;          // API endpoint URL
  projectId: string;        // Your project identifier
  apiKey?: string;          // API key for authentication
  apiSecret?: string;       // API secret for authentication
  accessToken?: string;     // Access token for web app usage
}

The SmartTablesSDK uses the same configuration as other SDK components, extending the BaseClientConfig.

Core Concepts

SmartTable

A SmartTable represents a structured data table with schema, metadata, and data management capabilities.

interface SmartTable {
  id: string;                    // Unique table identifier
  project_id: string;            // Project this table belongs to
  title: string;                 // Display name of the table
  description: string;           // Table description
  schema: SmartTableColumn[];    // Column definitions
  table_name: string;           // Internal table name
  created_at?: number;          // Creation timestamp
  updated_at?: number;          // Last update timestamp
}

SmartTableColumn

Defines the structure and properties of table columns.

interface SmartTableColumn {
  name: string;                           // Column name
  type: ColumnType;                       // Data type
  description?: string;                   // Column description
  notNull?: boolean;                      // Required field
  unique?: boolean;                       // Unique constraint
  defaultValue?: string | number | boolean | null;  // Default value
  options?: Record<string, unknown>;      // Additional options
}

type ColumnType = 'text' | 'number' | 'boolean' | 'date' | 'email' | 'url' | 'json';

Filtering & Querying

Advanced filtering system with multiple operators and sorting options.

interface TableFilter {
  column: string;
  operator: FilterOperator;
  value: string | number | boolean | null;
}

type FilterOperator = 'eq' | 'ne' | 'gt' | 'lt' | 'gte' | 'lte' | 'contains' | 'startswith' | 'endswith';

interface TableSort {
  column: string;
  direction: 'asc' | 'desc';
}

interface TablePagination {
  page?: number;
  limit?: number;
  search?: string;
}

Table Management

`getAllTables()`

Retrieve all tables in the project.

async getAllTables(): Promise<SmartTable[]>

Example:

const tables = await smartTablesSDK.getAllTables();
tables.forEach(table => {
  console.log(`Table: ${table.title} (${table.id})`);
  console.log(`Columns: ${table.schema.length}`);
});

`getTable(tableId)`

Get a specific table by ID.

async getTable(tableId: string): Promise<SmartTable>

Example:

const table = await smartTablesSDK.getTable('table_123');
console.log('Table schema:', table.schema);

`createTable(title, description, metadata?)`

Create a new table.

async createTable(
  title: string,
  description: string,
  metadata?: Record<string, unknown>
): Promise<SmartTable>

Example:

const table = await smartTablesSDK.createTable(
  'Product Catalog',
  'Manage product information and inventory',
  { category: 'inventory', owner: 'admin' }
);

`updateTable(tableId, title, description?, metadata?)`

Update table metadata.

async updateTable(
  tableId: string,
  title: string,
  description?: string,
  metadata?: Record<string, unknown>
): Promise<void>

Example:

await smartTablesSDK.updateTable(
  'table_123',
  'Updated Product Catalog',
  'Enhanced product management system',
  { version: '2.0' }
);

`deleteTable(tableId)`

Delete a table and all its data permanently.

async deleteTable(tableId: string): Promise<void>

Example:

await smartTablesSDK.deleteTable('table_123');

Column Operations

`addColumn(tableId, column)`

Add a new column to the table.

async addColumn(tableId: string, column: SmartTableColumn): Promise<void>

Example:

// Add a text column
await smartTablesSDK.addColumn('table_123', {
  name: 'product_name',
  type: 'text',
  description: 'Name of the product',
  notNull: true
});

// Add a number column with default value
await smartTablesSDK.addColumn('table_123', {
  name: 'price',
  type: 'number',
  description: 'Product price in USD',
  defaultValue: 0,
  notNull: true
});

// Add an email column with validation
await smartTablesSDK.addColumn('table_123', {
  name: 'supplier_email',
  type: 'email',
  description: 'Supplier contact email',
  unique: true
});

`updateColumn(tableId, columnName, updates)`

Update column properties.

async updateColumn(
  tableId: string,
  columnName: string,
  updates: Partial<SmartTableColumn>
): Promise<void>

Example:

await smartTablesSDK.updateColumn('table_123', 'product_name', {
  description: 'Updated product name field',
  notNull: true,
  unique: true
});

`deleteColumn(tableId, columnName)`

Remove a column from the table.

async deleteColumn(tableId: string, columnName: string): Promise<void>

Example:

await smartTablesSDK.deleteColumn('table_123', 'obsolete_column');

Data Operations

`addRow(tableId, data)`

Add a new row to the table.

async addRow(tableId: string, data: Record<string, any>): Promise<any>

Example:

const newRow = await smartTablesSDK.addRow('table_123', {
  product_name: 'Wireless Headphones',
  price: 99.99,
  supplier_email: 'supplier@example.com',
  in_stock: true
});

console.log('New row ID:', newRow.id);

`updateRow(tableId, rowId, columnName, newValue)`

Update a specific cell in the table.

async updateRow(
  tableId: string,
  rowId: string,
  columnName: string,
  newValue: any
): Promise<void>

Example:

// Update product price
await smartTablesSDK.updateRow(
  'table_123',
  'row_456',
  'price',
  89.99
);

// Update stock status
await smartTablesSDK.updateRow(
  'table_123',
  'row_456',
  'in_stock',
  false
);

`deleteRow(tableId, rowId)`

Delete a row from the table.

async deleteRow(tableId: string, rowId: string): Promise<void>

Example:

await smartTablesSDK.deleteRow('table_123', 'row_456');

Querying & Filtering

`queryTable(tableId, options?)`

Query table data with advanced filtering, sorting, and pagination.

async queryTable(
  tableId: string,
  options?: TableQueryOptions
): Promise<TableQueryResponse>

TableQueryOptions:

interface TableQueryOptions {
  filters?: TableFilter[];      // Filter conditions
  sort?: TableSort[];          // Sort configurations
  pagination?: TablePagination; // Pagination settings
}

Examples:

Basic Query

const results = await smartTablesSDK.queryTable('table_123');
console.log('All data:', results.data);

Filtered Query

const results = await smartTablesSDK.queryTable('table_123', {
  filters: [
    { column: 'price', operator: 'gte', value: 50 },
    { column: 'in_stock', operator: 'eq', value: true },
    { column: 'product_name', operator: 'contains', value: 'headphones' }
  ]
});

Sorted Query with Pagination

const results = await smartTablesSDK.queryTable('table_123', {
  sort: [
    { column: 'price', direction: 'desc' },
    { column: 'product_name', direction: 'asc' }
  ],
  pagination: {
    page: 2,
    limit: 20,
    search: 'wireless'
  }
});

console.log(`Found ${results.total} items`);
console.log(`Page ${results.page} of ${Math.ceil(results.total / results.limit)}`);

Data Import/Export

`importTable(title, description, columnMappings, file)`

Import data from CSV or Excel files.

async importTable(
  title: string,
  description: string,
  columnMappings: ColumnMapping[],
  file: File
): Promise<ImportResult>

ColumnMapping Interface:

interface ColumnMapping {
  sourceColumn: string;     // Column name in source file
  targetColumn: string;     // Column name in target table
  dataType: string;         // Target data type
}

Example:

const fileInput = document.getElementById('csvFile') as HTMLInputElement;
const file = fileInput.files[0];

const columnMappings: ColumnMapping[] = [
  { sourceColumn: 'Name', targetColumn: 'product_name', dataType: 'text' },
  { sourceColumn: 'Price', targetColumn: 'price', dataType: 'number' },
  { sourceColumn: 'Email', targetColumn: 'supplier_email', dataType: 'email' }
];

const result = await smartTablesSDK.importTable(
  'Imported Products',
  'Products imported from CSV',
  columnMappings,
  file
);

console.log(`Imported ${result.rows_imported} rows`);
console.log(`Table ID: ${result.data_type_id}`);

AI-Powered Features

`computeRowColumns(dataTypeId, rowId, columnNames?)`

Trigger AI computation for specific row columns.

async computeRowColumns(
  dataTypeId: string,
  rowId: string,
  columnNames?: string[]
): Promise<void>

Example:

// Compute specific columns for a row
await smartTablesSDK.computeRowColumns(
  'table_123',
  'row_456',
  ['ai_summary', 'sentiment_score']
);

`computeAllRows(dataTypeId)`

Trigger AI computation for all rows in the table.

async computeAllRows(dataTypeId: string): Promise<{
  message: string;
  total_rows_processed: number;
  total_columns_updated: number;
  updated_columns: string[];
  failed_rows: number[];
  stopped_due_to_failures: boolean;
  retry_attempts: Record<number, number>;
  computation_id?: string;
  history_table?: string;
}>

Example:

const result = await smartTablesSDK.computeAllRows('table_123');
console.log(`Processed ${result.total_rows_processed} rows`);
console.log(`Updated ${result.total_columns_updated} columns`);
console.log(`Updated columns: ${result.updated_columns.join(', ')}`);

if (result.failed_rows.length > 0) {
  console.log(`Failed rows: ${result.failed_rows.join(', ')}`);
}

Error Handling

The SmartTablesSDK uses the same error handling as other SDK components:

try {
  const table = await smartTablesSDK.createTable('My Table', 'Description');
} catch (error) {
  if (error instanceof APIError) {
    console.error(`API Error ${error.status}: ${error.message}`);
    if (error.detail) {
      console.error('Details:', error.detail);
    }
  } else {
    console.error('Unexpected error:', error);
  }
}

Examples

Complete Data Management Application

In this example, you will learn how to build a complete product management system using the SmartTablesSDK with a well-structured class that handles inventory and product information. The ProductManager class initializes the SDK with environment variables and provides a full workflow for managing a product catalog: the initializeTable() method creates a new “Product Catalog” table and sets up a comprehensive schema with eight columns including various data types (text, number, boolean, email, url, and date), along with constraints like notNull for required fields and defaultValue for stock availability. Once initialized, you can add products using addProduct(), which inserts new rows and automatically timestamps each entry with the current date, and perform sophisticated searches with searchProducts(), which lets you filter products by category, price range (using ‘gte’ and ‘lte’ operators for greater-than-or-equal and less-than-or-equal comparisons), apply text search across the table, and sort results alphabetically by product name. This gives you a production-ready pattern for building e-commerce inventory systems, product databases, or any application requiring structured data management with advanced querying capabilities—demonstrating how to combine multiple filter conditions, pagination, sorting, and search functionality into a cohesive data management solution.

import { SmartTablesSDK } from '@odin-ai-staging/sdk';

class ProductManager {
  private sdk: SmartTablesSDK;
  private tableId?: string;

  constructor() {
    this.sdk = new SmartTablesSDK({
      baseUrl: process.env.API_BASE_URL,
      projectId: process.env.PROJECT_ID,
      apiKey: process.env.API_KEY,
      apiSecret: process.env.API_SECRET
    });
  }

  async initializeTable() {
    try {
      // Create table
      const table = await this.sdk.createTable(
        'Product Catalog',
        'Manage product inventory and information'
      );
      this.tableId = table.id;

      // Add columns
      await this.addColumns();
      
      console.log('Table initialized:', this.tableId);
      return table;
    } catch (error) {
      console.error('Failed to initialize table:', error);
      throw error;
    }
  }

  private async addColumns() {
    const columns = [
      { name: 'name', type: 'text', description: 'Product name', notNull: true },
      { name: 'description', type: 'text', description: 'Product description' },
      { name: 'price', type: 'number', description: 'Price in USD', notNull: true },
      { name: 'category', type: 'text', description: 'Product category' },
      { name: 'in_stock', type: 'boolean', description: 'Stock availability', defaultValue: true },
      { name: 'supplier_email', type: 'email', description: 'Supplier contact' },
      { name: 'website', type: 'url', description: 'Product website' },
      { name: 'created_at', type: 'date', description: 'Creation date' }
    ];

    for (const column of columns) {
      await this.sdk.addColumn(this.tableId!, column);
    }
  }

  async addProduct(productData: any) {
    if (!this.tableId) throw new Error('Table not initialized');
    
    try {
      const result = await this.sdk.addRow(this.tableId, {
        ...productData,
        created_at: new Date().toISOString()
      });
      
      console.log('Product added:', result);
      return result;
    } catch (error) {
      console.error('Failed to add product:', error);
      throw error;
    }
  }

  async searchProducts(searchTerm: string, category?: string, minPrice?: number, maxPrice?: number) {
    if (!this.tableId) throw new Error('Table not initialized');

    const filters = [];
    
    if (category) {
      filters.push({ column: 'category', operator: 'eq', value: category });
    }
    
    if (minPrice !== undefined) {
      filters.push({ column: 'price', operator: 'gte', value: minPrice });
    }
    
    if (maxPrice !== undefined) {
      filters.push({ column: 'price', operator: 'lte', value: maxPrice });
    }

    try {
      const results = await this.sdk.queryTable(this.tableId, {
        filters,
        pagination: {
          search: searchTerm,
          limit: 50
        },
        sort: [
          { column: 'name', direction: 'asc' }
        ]
      });

      return results;
    } catch (error) {
      console.error('Search failed:', error);
      throw error;
    }
  }
}

// Usage
const productManager = new ProductManager();
await productManager.initializeTable();
await productManager.addProduct({
  name: 'Wireless Headphones',
  price: 199.99,
  category: 'Electronics'
});

Best Practices

Efficient Querying

Use pagination for large datasets
Apply filters to reduce data transfer
Combine multiple operations when possible

// Good: Efficient query with filters and pagination
const results = await smartTablesSDK.queryTable(tableId, {
  filters: [{ column: 'status', operator: 'eq', value: 'active' }],
  pagination: { limit: 50, page: 1 },
  sort: [{ column: 'created_at', direction: 'desc' }]
});

// Bad: Fetching all data without filters
const allResults = await smartTablesSDK.queryTable(tableId);

Schema Design

Define appropriate column types
Use constraints (notNull, unique) appropriately
Provide meaningful descriptions

// Good: Well-defined column schema
await smartTablesSDK.addColumn(tableId, {
  name: 'email',
  type: 'email',
  description: 'Customer email address',
  notNull: true,
  unique: true
});

// Bad: Vague column definition
await smartTablesSDK.addColumn(tableId, {
  name: 'data',
  type: 'text'
});

Error Handling and Validation

Always handle errors gracefully
Validate data before operations
Use transactions for related operations

async function safeTableOperation(tableId: string, data: any) {
  try {
    // Validate data first
    if (!data.email || !data.email.includes('@')) {
      throw new Error('Invalid email format');
    }
    
    // Perform operation
    const result = await smartTablesSDK.addRow(tableId, data);
    return result;
  } catch (error) {
    console.error('Operation failed:', error);
    // Handle specific error types
    if (error.message.includes('unique constraint')) {
      throw new Error('Email already exists');
    }
    throw error;
  }
}

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General Information

​Installation

​Quick Start

​Configuration

​SmartTablesSDKConfig Interface

​Core Concepts

​SmartTable

​SmartTableColumn

​Filtering & Querying

​Table Management

​getAllTables()

​getTable(tableId)

​createTable(title, description, metadata?)

​updateTable(tableId, title, description?, metadata?)

​deleteTable(tableId)

​Column Operations

​addColumn(tableId, column)

​updateColumn(tableId, columnName, updates)

​deleteColumn(tableId, columnName)

​Data Operations

​addRow(tableId, data)

​updateRow(tableId, rowId, columnName, newValue)

​deleteRow(tableId, rowId)

​Querying & Filtering

​queryTable(tableId, options?)

​Basic Query

​Filtered Query

​Sorted Query with Pagination

​Data Import/Export

​importTable(title, description, columnMappings, file)

​AI-Powered Features

​computeRowColumns(dataTypeId, rowId, columnNames?)

​computeAllRows(dataTypeId)

​Error Handling

​Examples

​Complete Data Management Application

​Best Practices

​Efficient Querying

​Schema Design

​Error Handling and Validation

Installation

Quick Start

Configuration

SmartTablesSDKConfig Interface

Core Concepts

SmartTable

SmartTableColumn

Filtering & Querying

Table Management

`getAllTables()`

`getTable(tableId)`

`createTable(title, description, metadata?)`

`updateTable(tableId, title, description?, metadata?)`

`deleteTable(tableId)`

Column Operations

`addColumn(tableId, column)`

`updateColumn(tableId, columnName, updates)`

`deleteColumn(tableId, columnName)`

Data Operations

`addRow(tableId, data)`

`updateRow(tableId, rowId, columnName, newValue)`

`deleteRow(tableId, rowId)`

Querying & Filtering

`queryTable(tableId, options?)`

Basic Query

Filtered Query

Sorted Query with Pagination

Data Import/Export

`importTable(title, description, columnMappings, file)`

AI-Powered Features

`computeRowColumns(dataTypeId, rowId, columnNames?)`

`computeAllRows(dataTypeId)`

Error Handling

Examples

Complete Data Management Application

Best Practices

Efficient Querying

Schema Design

Error Handling and Validation