Semantic Model Orchestrator

# Semantic Model Orchestrator This skill provides an intelligent middle layer for AI agents to decide which model tier should handle a specific task. By using semantic analysis, it categorized queries into **Elite**, **Balanced**, or **Basic** levels. ## Features - **Semantic Intent Recognition**: Uses vector embeddings to detect query complexity. - **Cost-Efficiency Orchestration**: Routes queries to **Elite**, **Balanced**, or **Basic** models. - **ClawHub Optimized**: Default tiers for Claude 3.5 Sonnet, GPT-4o-mini, and DeepSeek. - **Rolling Adjustment**: Built-in logic to refine intent keywords from user history. - **Multi-Provider Support**: Supports OpenAI, Anthropic, Gemini, and DeepSeek. ## Model Tiers - **Elite**: `anthropic/claude-3-5-sonnet-latest` - **Balanced**: `openai/gpt-4o-mini` - **Basic**: `deepseek/deepseek-chat` ## Usage Add this skill to your agent's capability list. The agent will call the `get_optimal_model` tool before making main LLM calls to optimize performance and budget. ### Example Tool Call ```python result = router.analyze_and_route("Design a high-scalable microservices architecture for a fintech app.") # Returns: {"tier": "ELITE", "suggested_model": "anthropic/claude-3-5-sonnet-latest"} ```