Introduction
- A framework for developing LLM (Large Language Model) applications with multiple conversational agents.
- These agents can collaborate to solve tasks and can interact seamlessly with humans.
- It simplifies complex LLM workflows, enhancing automation and optimization.
- It offers a range of working systems across various domains and complexities.
- It improves LLM inference with easy performance tuning and utility features like API unification and caching.
- It supports advanced usage patterns, including error handling, multi-config inference, and context programming.
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