The article discusses implementing load balancing and conditional routing using the Portkey AI library. The load balancing strategy divides requests between OpenAI and Groq based on predefined weights to optimize performance. On the other hand, conditional routing adjusts provider selection according to the user’s subscription plan, directing requests to either OpenAI for premium users or Groq for basic users. This intelligent configuration ensures that the responses are tailored to meet varying user needs while leveraging the capabilities of different AI providers effectively.
Conditional routing enables intelligent decision-making based on user plans, ensuring tailored responses from either OpenAI or Groq, maximizing efficiency and satisfaction.
With the load balancing strategy, the requests are proportionally distributed based on weight, while the conditional routing dynamically selects the provider based on user subscription levels.
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