AI Context Optimization provides a comprehensive toolkit for prompt engineers and developers to optimize context windows for generative AI. It leverages context relevance scoring to identify and retain critical information, executes automatic summarization to condense long histories, and enforces token budget management to avoid API limit breaches. Users can integrate it into chatbots, retrieval-augmented generation workflows, and memory systems. Configurable parameters let you adjust compression aggressiveness and relevance thresholds. By maintaining semantic coherence while discarding noise, it enhances response quality, lowers operational costs, and simplifies prompt engineering across diverse LLM providers.

Amelia is a cutting-edge AI agent that specializes in automating customer interactions across various platforms. Utilizing advanced natural language processing and machine learning, Amelia can understand human emotions, answer questions, and provide comprehensive support. By integrating seamlessly with existing systems, it allows businesses to improve efficiency, reduce operational costs, and enhance customer satisfaction. Its capabilities extend to handling inquiries, providing support for products, and assisting in transaction processes.