Your AI App Does Not Need Ten Model Clients. It Needs a Gateway Workflow.
📰 Dev.to · Alex Shev
Simplify your AI app's architecture by using a gateway workflow instead of multiple model clients, improving scalability and maintainability
Action Steps
- Identify the AI models and providers used in your app
- Design a gateway workflow to abstract the model clients
- Implement the gateway workflow using APIs or SDKs
- Test and validate the workflow with different models and providers
- Configure and deploy the gateway workflow in your production environment
Who Needs to Know This
Developers and architects of AI-powered applications can benefit from this approach, as it streamlines the integration of multiple AI models and providers
Key Insight
💡 Using a gateway workflow can simplify the architecture of your AI app and improve scalability
Share This
💡 Simplify your AI app's architecture with a gateway workflow! No more multiple model clients needed
Key Takeaways
Simplify your AI app's architecture by using a gateway workflow instead of multiple model clients, improving scalability and maintainability
Full Article
Most AI apps start with one provider. That is usually fine. You add an OpenAI SDK call, pick a...
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