Below is a concise README.md:

bigquery_agent

bigquery_agent creates a Gemini Agents Toolkit-based agent with built-in functions to query a specified BigQuery table.

Requirements

• Python 3.8+
• Gemini Agents Toolkit
• Google Cloud credentials with BigQuery access
• Vertex AI enabled for your GCP project

Installation

pip install bigquery_agent

Usage

import vertexai
from bigquery_agent import create_bigquery_agent

vertexai.init(project="YOUR_GCP_PROJECT", location="us-west1")

agent = create_bigquery_agent(
    bigquery_project_id="YOUR_BQ_PROJECT",
    dataset_id="YOUR_DATASET",
    table_id="YOUR_TABLE",
    model_name="gemini-2.0-flash-exp",
    system_instruction="Query the todos table as needed."
)

response = agent.send_message("Show me all todos from the database")[0]
print(response)

This agent can inspect the schema (get_schema), run queries (run_query), and get table references (get_table_ref) using the provided BigQuery credentials and Vertex AI model.

For more details on creating and using agents, refer to the Gemini Agents Toolkit README.