gordonlu/dsh-context-lens ↗★ 1
dsh-context-lens
Request Context Profiler for DeepSeek Harness — see what changed between model requests, and how cache reuse changed with it.
AI 分析
核心用途是分析和优化模型请求的上下文。适合需要深入排查缓存复用效率、对比请求差异的开发者，开发时需注意其依赖的特定包版本存根。
インストール
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gordonlu/dsh-context-lensドキュメント
README 全文を読む ↗Install & build
The published npm snapshot of the harness packages is incomplete: @deepseek-ai/dsh-compact and @deepseek-ai/dsh-type-meta are referenced by peers/dependencies but have never been published, and pnpm ≥ 10/11 auto-installs peers — so a plain registry install fails. This repo vendors type-only copies of the eight @deepseek-ai/dsh-* packages under vendor-stubs/ (dev-time, lib/types snapshots with sanitized package.json; only dsh-llm carries a 3-line runtime for its brand constructors). @deepseek-ai/cordis installs for real. See IMPLEMENTATION_NOTES.md → "npm snapshot gaps" for the full story.
pnpm install
pnpm typecheck # tsc --noEmit
pnpm test # vitest — 53 tests: fingerprint, cache math, diffing, projection lifecycle, replay consistency, determinism
pnpm build # tsc declarations → lib/types, tsdown → lib/index.js + lib/invariant.js + lib/client.js (browser, closure-factory ABI)
The browser bundle replicates the harness client-bundle ABI: window.__ModuleLoader__.load({ id: "dsh-context-lens", factory: (require) => … }), resolving react / react-dom / platform module-table entries through the loader-injected require and inlining everything else.