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

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"}