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Python SDK for Railtown AI Rail Engine - Ingestion

Project description

Rail Engine Ingestion SDK

Python SDK for ingesting data into Railtown AI Rail Engine - handles embeddings, storage, indexing, and webhook publishing.

Overview

The rail-engine-ingest package provides a Pythonic interface for publishing data to Rail Engine. It supports async/await patterns, Pydantic model validation, and familiar configuration patterns.

Installation

uv pip install rail-engine-ingest

Quick Start

# Copy your ENGINE_TOKEN from https://cndr.railtown.ai Project Settings

import asyncio
from railtown.engine.ingest import RailEngineIngest
import base64
import json

engine_token = os.getenv("ENGINE_TOKEN")

async def main():
    # Initialize client
    async with RailEngineIngest(engine_token=engine_token) as client:
        # Ingest data
        data = {
            "name": "Chicken Shawarma",
            "meal": "lunch",
            "calories": 95
        }
        response = await client.upsert(data)
        print(f"Status: {response.status_code}")

asyncio.run(main())

Configuration

Environment Variable

  • ENGINE_TOKEN - Base64-encoded JSON string containing ingestion credentials

Constructor Parameters

  • engine_token (optional) - ENGINE_TOKEN string (if not provided, reads from env)
  • model (optional) - Pydantic model type for validating ingested data

Features

  • Single upsert() method - Unified interface for ingesting data
  • Multiple data formats - Accepts Pydantic models, dictionaries, or JSON strings
  • Model validation - Optional Pydantic model validation
  • Direct JSON payload - Sends data directly as JSON to the ingestion endpoint
  • Async/await support - Built for modern async Python applications

Error Handling

The SDK provides custom exception classes:

  • RailtownError - Base exception
  • RailtownBadRequestError - 400 Bad Request
  • RailtownUnauthorizedError - 401 Unauthorized
  • RailtownNotFoundError - 404 Not Found
  • RailtownConflictError - 409 Conflict
  • RailtownServerError - 5xx Server errors

Exceptions are raised on errors.

Requirements

  • Python 3.10+
  • httpx >= 0.24.0
  • pydantic >= 1.10.0

Related Package

For retrieving and searching data from Rail Engine, see rail-engine.

License

MIT

Support

For issues, questions, or contributions, please visit the GitHub repository.

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