MLflow AI Gateway Explained | Manage API Keys, Failover, Traffic Split & Multi-LLM Endpoints

Описание: MLflow AI Gateway is one of the most powerful but underused features in modern LLMOps.

In this video, I demonstrate how MLflow AI Gateway allows you to manage LLM providers just like models and prompts — with proper infrastructure-level control.

You will learn how to:

• Create unified endpoints for multiple LLM providers
• Manage API keys securely without hardcoding
• Configure failover models automatically
• Split traffic across multiple models
• Route requests across providers like OpenAI and others
• Build production-grade LLM infrastructure

This is essential knowledge if you're building real-world GenAI systems.

Instead of directly calling providers like OpenAI, MLflow AI Gateway gives you a clean abstraction layer that makes your systems:

• More reliable
• More secure
• Easier to scale
• Easier to maintain

This video includes a complete working demo.

Perfect for:

• ML Engineers
• AI Engineers
• LLMOps Engineers
• Backend Engineers working with GenAI
• Anyone deploying LLM applications

If you're serious about production-grade AI systems, MLflow AI Gateway is a must-know tool.

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GitHub code and full tutorials coming soon.

#mlflow #llmops #genai #machinelearning #aiengineering