SQL Agent
The SQL Agent is an advanced AI-powered assistant that helps users interact with databases using natural language. It converts natural language queries into SQL, executes them safely, and provides human-readable responses.
SQL Agent workflow and architecture
Configuration Guide
Input Parameters
- query: Natural language query to be processed
- database_uri: Connection string for the target database
- llm: Language model configuration (default: GPT-4)
- max_iterations: Maximum number of query refinement attempts (default: 3)
- verbose: Enable detailed execution logging (default: false)
Error Handling
- SQL syntax validation
- Database connection monitoring
- Query timeout management
- Permission verification
- Data type validation
- Resource usage limits
Extra Tools
- Schema analyzer
- Query optimizer
- Data visualizer
- Query history tracker
- Performance monitor
Output Format
- agent: Agent state and metadata
- response: {
- query: Generated SQL query
- results: Query execution results
- explanation: Natural language explanation
- error: Any error messages (if applicable)
Agent Description
- Natural language to SQL conversion
- Context-aware query generation
- Schema-informed suggestions
- Query optimization and validation
- Result formatting and explanation
- Security and access control
Note: The SQL Agent requires appropriate database permissions and connection credentials. Always follow security best practices when configuring database access.
Tip: Use the verbose mode during development to better understand the agent's decision-making process and troubleshoot any issues with query generation or execution.