Quickstart

This Quickstart gets you from zero to a generated SQL query in ~5 minutes.

Prereqs: - Have a Text2Everything API endpoint and API key - Python 3.9+

Installation

pip install text2everything_sdk-0.1.x-py3-none-any.whl

Minimal setup and first query

from text2everything_sdk import Text2EverythingClient

# Simple initialization
client = Text2EverythingClient(
    api_key="your-api-key",
)

# 1) Create a project
project = client.projects.create(name="Quickstart Project")

# 2) Add minimal context
client.contexts.create(
    project_id=project.id,
    name="Business Rules",
    content="Active customers have status = 'active'",
    is_always_displayed=True,
)

# 3) Add a minimal table schema
schema = client.schema_metadata.create(
    project_id=project.id,
    name="Customers Table",
    schema_data={
        "table": {
            "name": "customers",
            "columns": [
                {"name": "id", "type": "INTEGER"},
                {"name": "name", "type": "VARCHAR(100)"},
                {"name": "status", "type": "VARCHAR(32)"},
            ]
        }
    },
)

# 4) Add a golden example for better SQL quality
client.golden_examples.create(
    project_id=project.id,
    user_query="How many active customers do we have?",
    sql_query="SELECT COUNT(*) FROM customers WHERE status = 'active';",
    description="Count of active customers",
    is_always_displayed=True,
)

# 5) Start a chat session
session = client.chat_sessions.create(project_id=project.id)

# 6) Ask a question to generate SQL
resp = client.chat.chat_to_sql(
    project_id=project.id,
    chat_session_id=session.id,
    query="Count active customers",
)

print("Generated SQL:", resp.sql_query)

Next steps: - Add golden examples for better quality - Connect your database and use Chat to Answer (executes SQL) - See Guides for resource-specific tasks