Phase 3: Video Generation · 55 min · Python · fal.ai API · Runway SDK

Multi-Provider Routing & Fallback

If Sora fails, try Veo. If Veo fails, try Kling. If all fail, fail gracefully — that's production video generation.

What you will learn

Build multi-provider routing: switch between Sora, Veo, Kling based on use case, cost, availability
Implement fallback chains: if Sora fails → try Veo → try Kling → fail gracefully
Implement cost-aware routing: cheap models for previews, expensive models for final output
Handle content policy routing: if one provider rejects prompt, try alternative provider

Objective

Create motion evidence that can be reviewed frame by frame, not only as a successful API response. In the paired studio lab, build a video generation router that tries multiple providers in sequence (e.g., Kling → Runway → Pika) with automatic fallback on failure. Include cost-aware routing (cheapest first for previews, best quality for finals) and content policy handling (try alternative provider on rejection).

The Problem

A production video generation service uses only Sora 2. During a product launch, Sora's API experiences downtime — all video generation requests fail. The team has no fallback. Customers see error messages. The launch is delayed. If they had multi-provider routing with fallback chains, the service would automatically switch to Veo or Kling when Sora fails, maintaining uptime.

Multi-provider routing with fallback chains is a core production engineering pattern. It's tested in system design interviews for video generation services.

What you'll build
A multi-provider router that switches between Sora, Veo, Kling, and Runway based on use case, cost, and availability. Implement fallback chains with automatic retry on failure. Handle content policy routing — if one provider rejects a prompt, try another.

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You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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