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[建议 / Feature] 内置 Vision MCP(analyze_image)固定 GLM-4.5V,请求升级 GLM-5V 系列或允许自选视觉模型

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Description

现状

GLM coding plan 附带的内置 Vision MCP(4_5v_mcp.analyze_image)后端模型固定为 GLM-4.5V:工具没有 model 参数,会话内和客户端设置里都无法切换。主模型(GLM-5.3)为纯文本输入,所有看图需求都只能走这一个委托通道。

问题
  • GLM-5V-Turbo 已发布(多模态 coding 基准显著更强),GLM-4.6V 更便宜且支持原生工具调用,但 coding plan 用户在内置链路上用不到,只能自建脚本绕过。
  • 委托链路(Read 图片 → 上传 CDN → analyze_image 读 URL)环节多、慢,且模型代差直接决定看图质量上限。
期望
  1. 服务端将该 MCP 的默认视觉模型升级至 GLM-5V 系列;或
  2. analyze_image 增加 model 参数 / 客户端设置项,允许 plan 用户自选视觉后端。
环境

ZCode 桌面客户端(macOS, Apple Silicon),GLM-5.3 coding plan。

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue identifies the built-in Vision MCP entry point as 4_5v_mcp.analyze_image, but names no repository files or tests. First clarify whether the change belongs in the service or ZCode macOS client, then agree on either a GLM-5V default or a selectable model setting and verify that image analysis uses the chosen backend.

Written by the indexing model from the issue text.

Assessment

Tech stack
macos
Domain
ai, desktop
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

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