v1.0.2
CodeLeveler v1.0.2
English
A feature and compatibility release on top of 1.0.1. Installed stable builds pick it up automatically, or run leveler update / /update.
Added
- First-class Zhipu BigModel Coding Plan setup for
glm-5.3andglm-5.3-flash, including reasoning, vision and 1M-context model profiles - Current DeepSeek profiles for
deepseek-flashanddeepseek-v4-pro, with vision and parallel-tool capabilities where supported - A unified skills registry, skill inspection and guarded skill-authoring workflow
- Background activity, detail and plan views in the TUI
- Durable semantic memory extraction with bounded reasoning, asynchronous batching and lifecycle recovery
Changed
- Session continuation, cancel and resume now share one explicit runtime protocol across the CLI, TUI, host and remote-control surfaces
leveler loginand the defaultleveler initpath write complete built-in model capabilities instead of generic placeholders- The retired
deepseek-v4-flashconfiguration is replaced bydeepseek-flash
Fixed
- DeepSeek thinking-mode conversations now return
reasoning_contentfor every historical assistant message when tools are present, preventing multi-turn tool requests from being rejected - DeepSeek forced tool choices disable thinking without silently dropping an explicitly supplied temperature
- Dynamic DeepSeek peak/off-peak and cache pricing is no longer represented as an inaccurate static USD price
Known limits
- Prebuilt binaries are not Apple- or Microsoft-signed. macOS or Windows may block the first run until you allow it
- Windows cannot deny network access per command. A command that requires that isolation is refused rather than run with the network open
- Windows has no local daemon socket. Sessions and
resumestill work - A confined Windows
!commandprints its output when it finishes, not while it runs
Install and usage: README.
Updates: README § Updates.
How the system is layered: Architecture.
中文
1.0.1 之上的功能与兼容性更新。已安装的稳定版会自动更新,也可以用 leveler update 或 /update。
新增
- 原生支持智谱 BigModel Coding Plan 的
glm-5.3和glm-5.3-flash,包含推理、视觉和 1M 上下文模型配置 - 支持当前 DeepSeek 模型
deepseek-flash和deepseek-v4-pro,并按模型声明视觉与并行工具能力 - 统一的 Skills 注册表、检查命令和受保护的 Skill 创建流程
- TUI 后台活动、详情页和计划视图
- 持久化语义记忆提取,支持受限推理、异步批处理和生命周期恢复
变更
- 会话续接、取消和恢复在 CLI、TUI、主机与远程控制之间共用一套明确的 runtime 协议
leveler login和默认leveler init会写入完整的内置模型能力,不再使用通用占位配置- 退役的
deepseek-v4-flash配置由deepseek-flash替代
修复
- DeepSeek 思考模式在携带工具时会为全部历史 assistant 消息回传
reasoning_content,避免多轮工具请求被拒绝 - DeepSeek 强制工具选择会关闭思考模式,但不会静默丢弃调用方显式提供的 temperature
- 不再把 DeepSeek 动态峰谷价和缓存价格错误表示为固定美元价格
已知限制
- 预编译包没有苹果或微软的官方签名。macOS 或 Windows 第一次运行时可能会拦截,需要你允许一次
- Windows 还不能按命令断开网络。需要断网隔离的命令会被拒绝,而不会在网络仍开放时继续跑
- Windows 没有本地 daemon 套接字。会话和
resume仍然可用 - Windows 上受隔离的
!command结束后才打印输出,不会边跑边刷
安装与使用见 README。
更新见 README · 更新。
系统怎么分层见 架构说明。