dsh-model-fusion
Fusion for DeepSeek Harness: one model entry backed by a frontier Lead that reads, briefs and reviews, and a much cheaper Sidekick that writes the code.
124 results
Fusion for DeepSeek Harness: one model entry backed by a frontier Lead that reads, briefs and reviews, and a much cheaper Sidekick that writes the code.
Claude Science-style research workbench for DeepSeek Harness: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), SSH remote-compute engine for long bioinformatics jobs on workstations/HPC (remote_* tools), and 11 science skills for genomics / pathogens / bioinformatics. Ships the tiered cross-provider model router via the companion dsh-model-tier bundle.
Advanced per-model reasoning and capacity settings for DeepSeek Harness
One-click context window matching and selective bulk configuration for DeepSeek Harness models, with source references and manual management.
DSH plugin: choose models for subagents and plan execution separately / 为子代理和计划执行选择更合适的模型
DSH 插件:给非官方(自定义)提供方的模型自动填充推理级别、最大上下文、输出上限与图片模态等参数(数据来自 models.dev),并提供兼容性提升、记住推理级别等用户体验优化。
Model Pro — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, smart routing, composites, observability, and per-model connectivity tests
A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, hidden-models blacklist, live per-task cost, prices and context windows, plus a refresh button that re-syncs every provider model list from its live API.
Model router & cost optimizer for DeepSeek Harness: heuristic tier routing between cheap and strong models, automatic fallback on transient failures, and a per-session token/cache/cost panel in the composer dock.
DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).
Two-level model circuit breaker with failover for DeepSeek Harness: trip a model or a whole provider after repeated request failures and route the next request to a configured fallback
模型信息补全:按模型名自动补全上下文、输出上限、思考档位和图片能力
Thin routing policy for DeepSeek Harness: keyword routing, allowlisted model switching, and isolated image generation. / DeepSeek Harness 薄路由策略:关键词路由、白名单模型切换和隔离生图。
Add models.dev reasoning levels to unconfigured third-party DeepSeek Harness models.
Per-model reasoning-effort and vision capability editor for DSH pi-ai provider profiles.
DeepSeek Harness plugin: the Models+ settings page — a fully plugin-owned model/provider UI with per-model extension fields (reasoning efforts, input modalities, compat flags) and models.dev metadata prefill
Enhanced model picker for the dsh web GUI: provider-tabbed left column with model list on the right, both independently scrollable, plus cross-provider search
Automatic model catalog synchronization for API-key DeepSeek Harness providers.
DSH web plugin: 为自定义模型(OpenAI-compatible pi-ai provider)增加思考强度(reasoning effort)配置 —— 设置页新增「思考强度」分区,按模型配置思考级别与线格式、按 provider 配置默认思考强度,直接写入 llm-pi-ai 设置,composer 模型选择器随即生效。
Model capability radar for the DeepSeek Harness web GUI: a Settings tab that charts codexradar crowd-benchmark scores per model tier — task-composition bars, 7-day IQ trend, efficiency badges
DeepSeek Harness plugin with two default model-and-reasoning shortcuts above the composer and optional Settings customization.
DSH Web GUI 模型能力配置:在「设置 → 模型」的模型目录编辑器内,为每个已配置的模型直接设置思考等级(reasoning efforts),并按 models.dev 预设/批量同步思考等级与上下文容量,写入 llm-pi-ai 设置命名空间。
Unified ModelID routing for DeepSeek Harness: one logical model id over multiple providers, first-token failover with cooldown, health-aware ranking, fallback reasoning efforts, purpose-based simple/complex task split, per-tier reasoning effort, and a settings-page management panel.
Modellix Design, LLM, and Web providers for DeepSeek Harness