⚡ DB-Agent

Enterprise AI Database Copilot & Autonomous Data Agent (CLI)
Author: Santhosh Gupta | 100% Free, Standalone, Works Offline (Ollama) or with Cloud AI (Gemini / Groq / OpenRouter).

PyPI Version Python Version License: MIT

🌟 What is DB-Agent?

DB-Agent is a production-grade AI Database Agent and Copilot. It empowers developers, DBAs, data analysts, and non-technical users to inspect schemas, discover complex multi-hop table relationships, generate and optimize SQL, execute queries with enterprise safety guardrails, and visualize data directly in the terminal.

🚀 2-Minute Quickstart

Step 1: Install from PyPI

pip install "dbagent-cli[all]"

Step 2: 1-Click AI Setup

db-agent setup

Choose between:

  1. Local Offline AI (Ollama): Zero API keys, 100% private, runs entirely on your machine.
  2. Free Cloud AI (Gemini / Groq / OpenRouter): Ultra-fast cloud processing.
  3. Database Tools Only: Standard DB introspection and CLI tools without AI.

Step 3: Connect Database & Save Alias

db-agent connect postgresql://user:password@localhost:5432/mydb --alias my_db

(Supports PostgreSQL, MySQL, SQLite, SQL Server, Oracle, DuckDB, and MongoDB).

Step 4: Ask Plain English Questions or Launch Chat!

# 1. Ask a question and get instant live results table + ASCII charts
db-agent ask "list top 10 users" --db my_db

# 2. Or start the interactive AI copilot shell
db-agent chat --db my_db

🛡️ Key Enterprise Features

1. 🧠 Relationship Graph & Smart Multi-Hop JOINs

Automatically discovers multi-hop join paths between disconnected tables without guessing arbitrary joins.

# Find shortest relationship path between two tables:
db-agent path users events --db my_db

# Explain join cardinality (1:1, 1:N) and recommended join syntax:
db-agent explain-join customers orders --db my_db

2. ⚡ Persistent Schema Cache & Change Detection

Never runs expensive full database scans on every query. Local cache (~/.dbagent/cache/) detects schema diffs:

db-agent refresh-schema --db my_db
db-agent schema-status --db my_db

3. 🔒 Safety Modes & Production Protection

Five operational safety modes enforce strict boundaries before SQL execution:

  • SAFE: Only SELECT, SHOW, DESCRIBE, EXPLAIN, WITH allowed. All writes and DDL are strictly blocked.
  • READ_ONLY: Enforced on PRODUCTION environments with 5s timeouts and row caps.
  • CONFIRM: Reads auto-execute; write and DDL operations require interactive confirmation.
  • SANDBOX: Writes executed inside uncommitted transactions with before/after diff preview.
  • ADMIN: Full administrative access with audit tracking.

4. ⏪ Change Sets & Snapshot Rollback

Before executing modifying queries, DB-Agent captures a recovery snapshot and creates an auditable ChangeSet:

db-agent changes
db-agent changes-show CS-20260828-001
db-agent rollback CS-20260828-001 --db my_db

5. 🏥 Database Doctor & Query Optimizer

Run comprehensive health checks on connectivity, latency, unindexed foreign keys, and slow queries:

# Database health diagnostics:
db-agent doctor --db my_db

# EXPLAIN plan analysis & index recommendations:
db-agent optimize "SELECT * FROM events WHERE camera_id = 42" --db my_db

6. 📚 Business Semantic Dictionary & Query Templates

Teach DB-Agent your domain-specific metrics and definitions:

# Define a business metric:
db-agent define offline_camera "A camera with no heartbeat for > 2 minutes" --sql "last_heartbeat < NOW() - INTERVAL '2 mins'"

# List all definitions:
db-agent definitions

# Manage trusted SQL templates:
db-agent template list

7. 🎭 Sensitive Data Masking & RBAC

Automatically classifies columns into PII, Secrets, and Financial data, masking confidential values in outputs (s***@gmail.com, **********, ****-****-****-1234).

8. 📊 Automatic Visualization Detector

Detects when query results represent time series, category distributions, or single metrics, and renders ASCII/Unicode charts directly in your terminal.

📖 Complete CLI Command Reference

Command How to Use Purpose
ask db-agent ask "list top 10 users" --db my_db Natural language to SQL -> executes & renders table.
chat db-agent chat --db my_db Interactive terminal copilot with multi-turn context.
doctor db-agent doctor --db my_db Comprehensive database and AI health diagnostic check.
path db-agent path users events --db my_db Shortest multi-hop foreign key join path discovery.
explain-join db-agent explain-join customers orders Explains join relationship, cardinality, and syntax.
optimize db-agent optimize "<SQL>" --db my_db Analyzes EXPLAIN plan and recommends indexes.
scan db-agent scan --db my_db --export db.md Full database schema introspection & Markdown export.
refresh-schema db-agent refresh-schema --db my_db Refreshes schema cache and reports detected diffs.
schema-status db-agent schema-status --db my_db Displays schema cache age, version, and health.
changes db-agent changes Lists recorded write ChangeSets.
changes-show db-agent changes-show CS-20260828-001 Shows before/after snapshot of a ChangeSet.
rollback db-agent rollback CS-20260828-001 Generates and executes inverse rollback SQL.
define db-agent define revenue "SUM(order.amount)" Saves a business definition into the semantic layer.
definitions db-agent definitions Lists all defined business terminology.
template db-agent template list Manages reusable, parameterized query templates.
audit db-agent audit Displays recent query execution audit log.
connect db-agent connect <url> --alias my_db Tests connection and saves profile alias.
use db-agent use gemini Switches default AI provider.
run db-agent run "SELECT * FROM users" --db my_db Executes raw SQL query with Rich table output.
generate db-agent generate "ETL script" --db my_db -o etl.py Generates Python ETL, Alembic migrations, or APIs.
setup db-agent setup 1-Click setup wizard for local or cloud AI.
config db-agent config Interactive AI API keys and preferences wizard.
profiles db-agent profiles Lists all saved database connection profiles.
models db-agent models Status of local Ollama models and cloud AI providers.
guide db-agent guide Displays full interactive command cheatsheet.

💬 In-Chat REPL Commands (db-agent chat)

Inside the interactive chat shell, you can use built-in colon commands:

  • :doctor — Run database health diagnostics.
  • :path <t1> <t2> — Discover shortest join path between tables.
  • :join <t1> <t2> — Explain join cardinality and recommended join syntax.
  • :mode <SAFE|CONFIRM|SANDBOX|ADMIN> — Switch safety mode mid-session.
  • :changes — List recent write ChangeSets.
  • :tables — List all database tables.
  • :table <name> — Inspect columns, types, primary keys, and sample data.
  • :fk <name> — View incoming and outgoing foreign keys.
  • :provider <name> — Switch AI provider (ollama, gemini, groq, openrouter).
  • :model <name> — Switch active model name on the fly.
  • :explain — Show generated SQL and query analysis for the last turn.
  • :history — View query history for the session.
  • :auto / :noauto — Toggle automatic execution of read queries.
  • :run — Re-execute the last generated SQL query.
  • :clear — Clear multi-turn conversational context.
  • :export <file> — Save the last generated SQL to a file.
  • :exit — Exit chat session.

📄 License

MIT License. Built with ❤️ by Santhosh Gupta.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.11.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for santhoshgupta from gravatar.com santhoshgupta

Credits

Author: Santhosh Gupta

Requires

Python >=3.9

Provides Extra

all dev

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