Show HN: AgentForge – Multi-LLM Orchestrator in 15KB

AgentForge's release of a multi-LLM orchestrator in 15KB of Python code marks a significant reduction in overhead and latency compared to existing solutions like LangChain. This development is particularly relevant for website owners who rely on large language models (LLMs) to generate content or interact with users. The reduced latency and memory usage of AgentForge can lead to improved user experience and decreased server costs. With AgentForge, website owners can potentially handle a higher volume of requests without sacrificing performance, making it an attractive option for those looking to integrate AI-powered features into their websites. To take advantage of AgentForge, website owners can start by reviewing their current LLM integrations and identifying areas where AgentForge can be used to reduce latency and improve performance. Additionally, they can explore using AgentForge to orchestrate multiple LLMs, allowing for more complex and nuanced AI-powered interactions with users. Lastly, website owners should ensure their llms.txt files are up-to-date to effectively manage and track AI bot traffic, taking into account the potential changes in traffic patterns resulting from the adoption of AgentForge.