dsh-synomega
DSH 有机反应预测插件，支持逆合成分析、正向预测、路径规划、SynScore 评估，并在会话中可视化分子与反应路径。
AI 分析
核心用途是辅助化学研究人员进行有机合成路线规划。适合化学、制药等领域的科研人员进行反应预测与路径可视化。
安裝
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zbc0315/dsh-synomega說明文件
閱讀完整 README ↗Configuration
All values are set in cordis.yml. The ones worth knowing:
| Key | Default | Meaning |
|---|---|---|
autoSetup | true | Provision Python on activation |
python | — | Explicit interpreter path; set it and no virtualenv is created |
extras | ['gnn'] | PyPI extras. [] installs the template-only backend: no torch, much faster, no neural prediction |
mirror | 'auto' | Asset mirror (ustc / github) |
algorithm | 'retrostar' | Search algorithm (retrostar / mcts / bfs) |
plausibility | false | Screen candidates with the plausibility model. Off by default: it does not improve top-k recall and adds latency |
search | width 50, 60 s, 500 expansions | Search budget. Deployment policy, not a model-facing argument |
timeouts | 2 min / 10 min | Per-operation deadlines (single-step / search) |
visualize | true | Emit card metadata |
maxTreeNodes | 120 | Node cap for a drawn route tree |