Turso

Edge database intelligence delivered through AI-powered Turso integration

Your AI agent validates database connections, identifies the optimal deployment region, and streams real-time table changes from Turso's globally replicated SQLite databases. Developers get instant answers about their database health without running CLI commands or checking dashboards.

Chosen by 800+ global brands across industries

Serverless SQLite at conversation speed

Your AI agent manages Turso database connections, validates tokens, and streams real-time change events, making edge database operations as simple as asking a question.

Turso

Use Cases

Edge database workflows in action

See how development teams use AI agents to validate Turso connections, monitor globally replicated databases, and react to data changes in real time.

Developer Onboarding Token Validation

A new developer joins the team and needs to verify their Turso setup is working. They message the AI Agent with their connection details. The agent validates the API token against Turso's platform, confirms the token is active with its expiration date, and verifies the pipeline endpoint responds to a health query. The developer is confident their setup works before writing a single line of code.

Latency-Optimized Database Placement

An engineering team is launching in Southeast Asia and needs to choose the right Turso region. Your AI Agent identifies the closest region for their target users, compares latency characteristics, and recommends the optimal replica placement. Database infrastructure decisions informed by data, not guesswork, during a planning conversation.

Real-Time Order Alert Pipeline

An e-commerce team wants instant notifications when new orders hit their Turso database. Your AI Agent listens for insert events on the orders table and triggers a conversational alert with the new order details. The support team sees incoming orders in their chat window without polling the database or building a custom webhook.

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Turso

Turso

FAQs

Frequently Asked Questions

What validation modes does the Turso token check support?

The agent supports three validation modes: platform (validates against Turso's Platform API), pipeline (validates using the database pipeline endpoint with a SQL health check), and auto (tries platform first, falls back to pipeline). Auto mode is the default and catches the broadest range of connectivity issues.

Can the agent listen for changes on multiple tables simultaneously?

Each change listener targets a specific table and action type (insert, update, or delete). You can configure multiple listeners across different tables. The agent reports events from all active listeners in the same conversation thread.

Does the closest region endpoint account for my users' locations?

The closest region endpoint returns the nearest Turso region based on the requesting client's IP address. To optimize for your end users in different geographies, you would call this from a location representative of your user base or use Turso's multi-region replication.

Does Tars store any data from my Turso databases?

No. Tars validates tokens and listens for change events through the Turso API. Actual database contents, row data, and schema information are not copied or stored by Tars. Change events are processed in real time during the conversation.

What is the difference between Turso and traditional SQLite?

Turso is built on libSQL, an open-source fork of SQLite that adds server mode, global replication, and HTTP access. Traditional SQLite is a local file-based database. Turso provides the simplicity of SQLite with the scalability of a cloud database, including edge replication across hundreds of locations.

Can the agent execute arbitrary SQL queries on my Turso database?

The current integration focuses on token validation (which includes a configurable health SQL query), region detection, and change streaming. For full SQL query execution, connect to your Turso database through the native PostgreSQL-compatible endpoint and consider using the Tars agent with a custom database tool.

How does the change listener handle high-throughput tables?

The change listener streams committed events as they occur. For high-volume tables, the agent processes events sequentially and can be configured to batch notifications or filter by specific conditions. Very high-throughput scenarios may benefit from dedicated webhook infrastructure.

What SQL statement does the health check use by default?

The default health SQL is SELECT 1, which confirms basic connectivity and query execution. You can customize this to any valid SQL statement, including queries that test specific tables or features like Unicode support, to match your application's requirements.

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Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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