- name
- Semantic Model Orchestrator
- description
- A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.
- version
- 1.0.0
- author
- Ray
- tags
- [llm-ops, routing, efficiency, selection]
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"}