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๐Ÿฆ Tired of Your API Tokens Melting Like Ice Cream? EvoAgentX Now Supports Local LLMs!

Tired of watching your OpenAI API quota melt like ice cream in July?
WE HEAR YOU! And we just shipped a solution.
With our latest update, EvoAgentX now supports locally deployed language models โ€” thanks to upgraded LiteLLM integration.

๐Ÿš€ What does this mean?

  • No more sweating over token bills ๐Ÿ’ธ
  • Total control over your compute + privacy ๐Ÿ”’
  • Experiment with powerful models on your own terms
  • Plug-and-play local models with the same EvoAgentX magic

๐Ÿ” Heads up: small models are... well, small.
For better results, we recommend running larger ones with stronger instruction-following.

๐Ÿ›  Code updates here:

  • litellm_model.py
  • model_configs.py

So go ahead โ€”

Unleash your agents. Host your LLMs. Keep your tokens.
โญ๏ธ And if you love this direction, please star us on GitHub! Every star helps our open-source mission grow:
๐Ÿ”— https://github.com/EvoAgentX/EvoAgentX

EvoAgentX #LocalLLM #AI #OpenSource #MachineLearning #SelfEvolvingAI #LiteLLM #AIInfra #DevTools #LLMFramework #BringYourOwnModel #TokenSaver #GitHub

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