Pathway Integration

Pathway is a real-time data processing framework with built-in LLM integration for building live AI pipelines. It processes streaming data and connects to vector stores and LLMs for real-time RAG.

Pathway's LLM xpack supports OpenAI-compatible endpoints.

Prerequisites

An LLM API account with an API key
Pathway installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Configure LLM API in Pathway

Install Pathway:

pip install pathway[all]

Configure in code:

import pathway as pw
from pathway.xpacks.llm import llms
model = llms.OpenAIChat(
model="openai/gpt-4o",
api_key="your-llm-api-key-here",
api_base="https://api.llmapi.ai/v1"
)

Use in your Pathway pipeline.

Test the Integration

Verify that Pathway can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

Pathway's real-time processing combined with LLM API creates live-updating RAG applications.

Benefits of Using LLM API with Pathway

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.