LiteLLM vs AegisFlow: honest comparison from someone who built the alternative

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I built AegisFlow because I needed an LLM proxy and kept running into things with LiteLLM that didn't work for me. This isn't a takedown. LiteLLM has a huge community, 100+ providers, and a lot of teams use it in production. But I wanted something different, so I wrote my own in Go. Here's what I found after using both. Where LiteLLM is the better choice Provider count. LiteLLM supports over 100 providers. AegisFlow supports 10. If you need Sagemaker, VertexAI, or NVIDIA NIM out of t

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