EX MCP Server

from __future__ import annotations from typing import Dict def suggest_params(prompt: str) -> Dict[str, object]: p = (prompt or "").lower() has_images = any(k in p for k in ["image:", "![", "<img", "vision"]) # crude long_context = len(prompt) > 128_000 // 4 # align with router heuristic task_type = ( "multimodal_reasoning" if has_images else ("long_context_analysis" if long_context else "code_generation") ) return {"has_images": has_images, "long_context": long_context, "task_type": task_type}