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The Agnostic AI Gateway: Orchestrating LLM Flows in FastAPI

Hardcoding an LLM provider into route logic creates lock-in, unpredictable costs, and fragmented safety controls. Learn to build a provider-agnostic FastAPI gateway with dynamic routing, semantic caching, normalized streaming, and guardrails.

Advanced
58m

Created by Reindert-Jan Ekker

Last Updated Sep 04, 2026

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  • Course

The Agnostic AI Gateway: Orchestrating LLM Flows in FastAPI

Hardcoding an LLM provider into route logic creates lock-in, unpredictable costs, and fragmented safety controls. Learn to build a provider-agnostic FastAPI gateway with dynamic routing, semantic caching, normalized streaming, and guardrails.

Advanced
58m

Created by Reindert-Jan Ekker

Last Updated Sep 04, 2026

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What you'll learn

LLM-powered APIs often become tightly coupled to one provider, making migrations expensive and governance inconsistent. In this course, The Agnostic AI Gateway: Orchestrating LLM Flows in FastAPI, you'll gain the ability to design and implement a vendor-neutral AI gateway architecture. First, you'll explore abstraction-driven provider wrappers and intent-based routing. Next, you'll discover how to normalize provider streaming with SSE and orchestrate parallel operations safely using async task groups. Finally, you'll learn how to add semantic caching with Redis embeddings plus gateway-level guardrails for prompt injection and PII protection. When you're finished with this course, you'll have the skills and knowledge of production-ready AI gateway design needed to evolve model strategy without destabilizing your FastAPI application.

The Agnostic AI Gateway: Orchestrating LLM Flows in FastAPI
Advanced
58m
Table of contents

About the author
Reindert-Jan Ekker - Pluralsight course - The Agnostic AI Gateway: Orchestrating LLM Flows in FastAPI
Reindert-Jan Ekker
33 courses 4.6 author rating 4503 ratings

After years of working in software development, Reindert-Jan Ekker switched to teaching programmers in 2010 and never looked back. He authors Pluralsight courses and teaches classes about Python, data science, devops (among others). Even though he squeezes some development jobs in here and there, teaching is his real passion and he is looking forward to share this passion with you.

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