Providers

We currently support connecting to different available LLMs through the following providers:

  • OpenAI - GPT models
  • Anthropic - Claude models
  • Gemini - Google's Gemini models

Take a look at the examples below to see how using different providers look for achieving the same task.

import railtracks as rt
from dotenv import load_dotenv
load_dotenv()  # Load environment variables from .env file

model = rt.llm.OpenAILLM("gpt-4o")

import railtracks as rt
from dotenv import load_dotenv
load_dotenv()  # Load environment variables from .env file

model = rt.llm.AnthropicLLM("claude-sonnet-4-6")

import railtracks as rt
from dotenv import load_dotenv
load_dotenv()  # Load environment variables from .env file

model = rt.llm.GeminiLLM(model_name="gemini-3-flash-preview")
Environment Variables Configuration

Make sure you set the appropriate environment variable keys for your specific provider. By default, Railtracks uses the python-dotenv framework to load environment variables from a .env file.