smart-model-switcher-v4智能模型自动切换 V4 - 多模态感知,自动识别图片/代码/文本任务,切换到最适合的模型。支持图片理解(qwen3-vl-plus)、代码(glm-5/qwen-coder)、长文本、推理等场景。零感知切换,无需手动操作。
Install via ClawdBot CLI:
clawdbot install davidme6/smart-model-switcher-v4Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://img.shields.io/badge/version-4.0.0-blue.svgAudited Apr 18, 2026 · audit v1.0
Generated May 5, 2026
An AI support agent that automatically detects whether a user uploads a screenshot, describes a coding bug, or asks a logic question, and switches to the best model (vision, code, or reasoning) without manual intervention. This reduces resolution time and improves first-contact resolution for support teams.
A coding copilot that recognizes code-related keywords and file attachments in a developer's message, then instantly switches to a top-tier code model (e.g., glm-5 or qwen3-coder-plus) for tasks like debugging, code review, or generating new functions. This streamlines development workflows within chat platforms.
A marketing analyst bot that automatically routes image-heavy requests (charts, screenshots, design mockups) to a vision model (e.g., qwen3-vl-plus) and switches to a general model for copywriting. Helps marketing teams interpret visual data and generate reports without context switching.
A research assistant that detects complex reasoning or mathematical proofs in user queries and switches to a powerful reasoning model (e.g., qwq-plus or qwen3-max) to provide step-by-step analysis. Also handles long document analysis using the 1M-context model for research papers.
A unified agent that operates across web chat, Feishu, and Telegram, automatically detecting task type per session and switching models independently. For example, a picture of a product defect switches to vision, while a pricing logic question switches to reasoning, all without affecting other channels.
Customers pay a monthly or yearly fee per agent seat that includes automatic model switching across vision, code, and reasoning. The system optimizes API costs by using lower-tier models for simple tasks, allowing higher margins.
Developers integrate the Smart Model Switcher via API and pay per inference (per message or per token). The switching logic automatically selects the most cost-effective model for each request, reducing overall spend compared to using a single high-end model.
Enterprises license the full Smart Model Switcher codebase and configuration, customizing model preferences and deployment on their own cloud. The solution includes dedicated support and SLA guarantees.
💬 Integration Tip
Use the session_status tool to switch models per session (channel-level isolation). Start with the recommended 'modelPreferences' JSON to set default vision, coding, reasoning, and general models. The detection logic runs on every message, so ensure keywords and attachment types are consistent with your use case.
Scored Jul 3, 2026
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