AutoGen, LiteLLM and Open Source LLMs

If you’re in the business of building LLM-powered apps, you need a way to iterate much faster since the LLM universe is expanding at light speed! But how do you keep up without getting lost?

Each LLM, be it from Huggingface, AWS Bedrock, Azure OpenAI, or others, often comes with its unique set of rules and formats. This diversity is valuable, but it makes integrating and managing these APIs a bit of a headache, especially when keeping up with new features and updates.

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You quickly find yourself dealing with frequent API failures, writing complex fallback strategies and provider-specific code and prompts, which only adds to the workload. You can also imagine what happens when you start thinking about orchestrating multi-agent workflows..

OK, you get the idea, but you are in luck.

This time, I will walk you through:

• Brief Rationale behind LiteLLM and AutoGen
• Implementation of AutoGen and LiteLLM to answer simple questions

LiteLLM to Call 100+ LLMs w/ Same Input-Output

LiteLLM allows you to call over 100 LLMs using the OpenAI format, where you can expect consistent output format e.g…