SQLite Plugin

Author: langgenius
Version: 0.0.1
Type: Dify Plugin Tool

Description

A universal SQLite database tool for AI agents to query, manage, and analyze databases. Supports both SQL and JSON-based actions for easy, safe, and flexible data operations. Works with local files, cloud databases, and in-memory databases.

Features

• Universal Connection: Connect to any SQLite database via file path
• Dual Interface: Support for both SQL statements and JSON-based operations
• Comprehensive Operations:
  • Create and drop tables
  • Insert single or multiple rows
  • Update rows with conditions
  • Delete rows or entire tables
  • Advanced SELECT queries (aggregates, window functions, recursive CTEs)
• Multi-language Support: English, Chinese (Simplified/Traditional), Japanese, Portuguese
• Security: Parameterized queries to prevent SQL injection
• Error Handling: Friendly error messages and detailed result reporting
• Flexible Output: Results available in both text and JSON formats

Configuration

• Database File Path: The absolute or relative path to your SQLite .db file
• Access Requirements: The database file must be accessible from the plugin environment
• Permissions: The plugin requires read/write access to the database file

Available Tools

1. Create Table

Creates a new table in the SQLite database using SQL CREATE TABLE statements.

Parameters:

• create_table_sql (required): SQL CREATE TABLE statement

Example:

CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT, email TEXT UNIQUE)

2. Select Rows

Executes SQL SELECT statements to query data from tables.

Parameters:

• select_sql (required): SQL SELECT statement

Examples:

SELECT * FROM users WHERE name = 'Alice'

SELECT name, COUNT(*) as count FROM users GROUP BY name

3. Insert Rows (SQL)

Inserts data using SQL INSERT statements.

Parameters:

• insert_sql (required): SQL INSERT statement

Examples:

INSERT INTO users (id, name, email) VALUES (1, 'Alice', 'alice@example.com')

INSERT INTO users (name, email) VALUES ('Bob', 'bob@example.com'), ('Charlie', 'charlie@example.com')

4. Insert Rows (JSON)

Inserts data using JSON format for easier programmatic access.

Parameters:

• table (required): Name of the table to insert into
• data (required): JSON string of data to insert (single object or array of objects)

Examples:

Single row:

{
  "table": "users",
  "data": "{\"id\": 2, \"name\": \"Bob\", \"email\": \"bob@example.com\"}"
}

Multiple rows:

{
  "table": "users",
  "data": "[{\"id\": 3, \"name\": \"Charlie\", \"email\": \"charlie@example.com\"}, {\"id\": 4, \"name\": \"Dana\", \"email\": \"dana@example.com\"}]"
}

5. Update Rows (SQL)

Updates data using SQL UPDATE statements.

Parameters:

• update_sql (required): SQL UPDATE statement

Example:

UPDATE users SET name = 'Alice Smith', email = 'alice.smith@example.com' WHERE id = 1

6. Update Rows (JSON)

Updates data using JSON format with separate data and condition parameters.

Parameters:

• table (required): Name of the table to update
• data (required): JSON string with columns and new values
• where (required): JSON string with conditions for selecting rows to update

Example:

{
  "table": "users",
  "data": "{\"name\": \"Alice Smith\", \"email\": \"alice.smith@example.com\"}",
  "where": "{\"id\": 1}"
}

7. Delete Rows or Tables

Deletes rows or entire tables using SQL DELETE or DROP statements.

Parameters:

• delete_sql (required): SQL DELETE or DROP statement

Examples:

Delete specific rows:

DELETE FROM users WHERE id = 1

Delete all rows:

DELETE FROM users

Drop entire table:

DROP TABLE users

Advanced Usage Examples

Complex Queries

SELECT u.name, COUNT(o.id) as order_count 
FROM users u 
LEFT JOIN orders o ON u.id = o.user_id 
GROUP BY u.id, u.name 
HAVING order_count > 0 
ORDER BY order_count DESC

Window Functions

SELECT name, salary, 
       ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) as rank 
FROM employees

Recursive CTEs

WITH RECURSIVE categories AS (
    SELECT id, name, parent_id, 0 as level 
    FROM category 
    WHERE parent_id IS NULL 
    UNION ALL 
    SELECT c.id, c.name, c.parent_id, cat.level + 1 
    FROM category c 
    JOIN categories cat ON c.parent_id = cat.id
) 
SELECT * FROM categories

Error Handling

The plugin provides detailed error messages for common issues:

• Invalid SQL syntax
• Table/column not found
• Constraint violations
• File access permissions
• Database corruption

Security Considerations

• All SQL operations use parameterized queries to prevent SQL injection
• Input validation is performed on all parameters
• Database file path is validated for security
• Error messages are sanitized to prevent information leakage

Performance Tips

• Use appropriate indexes for frequently queried columns
• Batch insert operations when inserting multiple rows
• Use transactions for multiple related operations
• Consider using JSON operations for simpler data structures
• Use specific column names in SELECT statements rather than SELECT *

Support

For issues, questions, or contributions, please refer to the Dify plugin documentation or contact the development team.