Introduction

The application uses ADK, Gemini, LangChain tools to power an SQL Agent.

Architecture

Frontend: Streamlit app (streamlit_ui.py)
Backend: FastAPI service (main.py)
Agents:

• Coordinator: sql_agent (sql_agent.py)
• Subagents:
  • Evaluate Result agent (evaluate_result.py)

Function Tools:

• get_schema tool (db_tools.py)
• run_sql_query tool (db_tools.py)

Models:

• Gemini 2.5 pro

Getting started

Clone the repo

git clone https://github.com/gabrielpreda/adk-sql-agent.git
cd adk-sql-agent

Create an .env file

The file should contain the following:

GOOGLE_GENAI_USE_VERTEXAI=TRUE
GOOGLE_CLOUD_PROJECT=YOUR_PROJECT
GOOGLE_CLOUD_LOCATION=YOUR_REGION

Install dependencies

Run:

pip install -r requirements.txt

Start the backend

Run:

uvicorn main:app --reload

Start the frontend

Run:

streamlit run streamlit_ui.py