374 results
GitHub/Git deployment plugin for DeepSeek Harness (DSH): a Git settings section after model/plugin/agent preset, global GitHub account config, visual repository management (init/create/commit/push/status/log), branch create/switch, commit graph, and 9 git_* model tools for agents.
第三方模型思考努力度配置（DeepSeek Harness 插件）：在设置页为模型声明 reasoningEfforts 档位、路由默认档位与 Anthropic token 预算，写入 llm-pi-ai 命名空间；档位调节复用原生模型框 Effort 面板。
DSH web sidebar foot ordering: force the sidebar.footer.action slot into a vertical stack (display: contents → flex column), configure entry order (including the settings row under id `settings`), and manage layout, gap, align, and item order within settingsArea.
Mingleng mcpguard for DeepSeek Harness 鈥?the first security plugin for DSH. Scans skills and MCP configs for prompt injection, homoglyphs, hidden Unicode, dangerous shell and credential leaks.
Cross-session persistent cost ledger for DeepSeek Harness: logs every LLM token usage to SQLite and exposes record/query/budget tools. Built-in DeepSeek pricing, overridable via config.
Screenshot-to-input for DeepSeek Harness: composer camera button + global hotkey (Alt+A) + listener bound to the app lifecycle, configurable in settings. 截图自动粘贴到 DSH 输入框：相机按钮 + 全局快捷键 + 生命周期绑定 + 设置页配置。
Global model command palette and provider/model configuration panel for DeepSeek Harness, with selective request retries, OpenRouter free-model import, loopback relays, online capacity presets, and optional media tools.
WSL port expose advisor: .wslconfig networkingMode, dsh :3081 relay, optional portproxy.
Configurable and secure multi-provider web search for DeepSeek Harness
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
Quota monitor for the DeepSeek Harness Web GUI: OpenCode Go plan usage + DeepSeek API balance/usage + MiniMax Token Plan, as a draggable bottom-left monitor window. P0: self-metered token ledger (llm/stream waterfall, own JSONL). P1: multi-provider abstractions (balance/windows kinds, presets, configurable parsers) and bundle-type packaging.
Better config hub for DeepSeek Harness: one page showing sandbox mode, default model, workspaces, settings namespaces and copy-ready composition templates.
DeepSeek Harness settings page: cap every configured model service to a working context window, clamped to what each model can actually hold
Unlimited-OCR long-document parsing with a native DeepSeek Harness tool and GUI configuration.
OpenAI-completions-compatible adapter for custom gateways (vLLM / LM Studio / self-hosted proxies): always role:"system", enable_thinking / chat_template_kwargs / reasoning_effort driven by the llm-pi-ai model config, and a </think> split on the receive side — no pi-ai behavior guessing.
DSH plugin: expose Trae Work CN credits as a local OpenAI/Anthropic compatible API for Claude Code, Cursor, Cline and other agents. Ships a DSH web settings page (status, stats, token management, hot-reload config).
Named subagent profiles with configurable model routing and reasoning for DeepSeek Harness
DeepSeek Harness host plugin: serves a configured workspace/media folder over the web server under /media, so any conversation can display local images by referencing http://<host>:<port>/media/<relative-path>.
Fifth DeepSeek Harness mode with configurable Codex, Claude Code, or DSH audits, user-approved remediation turns, progressive Cordis/skill elevation, safety pauses, and Web/TUI review controls.
Adobe Lightroom Classic for DeepSeek Harness (dsh) — mounts the lightroom-py MCP server as native dsh tools. Pure-config bundle inside the lightroom-py repo; the Python package comes from PyPI (pip install lightroom-py).
Configurable VS Code style keyboard shortcuts for the DSH Desktop web GUI, with a settings-page keybinding editor
A dsh policy plugin that gates kubectl writes by kubeconfig context: hard-deny irreversible verbs outside local clusters, ask for the rest.
Configurable user-confirmed lessons that help DeepSeek Harness avoid repeating mistakes.
Per-model vision (image input) toggle for DeepSeek Harness (dsh): list every configured model and flip a switch to enable/disable image support without hand-editing settings.yaml. 为 DeepSeek Harness 提供按模型的「支持图片」开关：无需手改 settings.yaml。