LLM Integrator

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Bridge the gap between AI conversation and visual expression by connecting LLM providers like Claude and GPT to the emotive-mascot animation system. This skill enables developers to implement real-time sentiment analysis—via keyword detection or AI-powered evaluation—and map those results to fluid, particle-based emotional responses. Whether building a supportive learning tutor, an empathetic healthcare assistant, or a friendly retail bot, it provides the implementation patterns, streaming logic, and context-aware mapping needed to create truly expressive AI personalities.

Características Principales

• Context-aware emotion profiles for retail, healthcare, and education
• 10 GitHub stars
• Sentiment-driven emotion mapping for real-time visual responses
• Streamlined API integration patterns for Anthropic and OpenAI SDKs
• Advanced sentiment detection via keyword analysis or LLM evaluation
• Robust error handling and rate-limiting patterns for production chat interfaces

Casos de Uso

• Building empathetic conversational mascots for healthcare patient intake
• Implementing interactive, friendly customer service bots for retail environments
• Creating encouraging and supportive AI tutors for educational platforms