The AI industry is rapidly moving from single-model usage to multi-model infrastructure. Modern AI products no longer rely on one provider alone. Instead, teams are combining OpenAI, Claude, Gemini, Grok, and open-source models across different workflows. This shift creates a major infrastructure problem because managing multiple AI providers is operationally chaotic. Every provider has different SDKs, different response formats, and different streaming behavior. How is your team handling this fragmentation? submitted by /u/dikshamishra34
Originally posted by u/dikshamishra34 on r/ArtificialInteligence
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