deepjit
DeepJIT：将重复的代理工作流即时编译为适用于 deepseek-harness (dsh) 的技能和流程模板
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:fly3366/DeepJIT#a370f9b4be258bf1680e48fa659001c683cdddb3Deepjit 以 deepjit 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →A JIT compiler plugin for deepseek-harness (dsh).
DeepJIT watches agent execution traces, mines recurring "hot" workflows, and compiles them with an LLM into reusable skills (markdown) or flows (step templates) — then feeds them back into the running harness, no restart. It is for anyone who repeats similar multi-tool workflows and wants dsh to turn them into fast, reusable assets.
traces ──► SQLite ──► hot-path mining ──► LLM compile ──► skills / flows ──► dsh
~/.dsh/deepjit/ and hot-reload into dsh.| Item | Value |
|---|---|
| DSH version | @deepseek-ai/dsh 0.1.0-rc.8 (runtime-verified) |
| DSH mainline | 141eb6fe (static-checked 2026-08-19; used APIs unchanged) |
| Verified commit | 5869674 (2026-08-13) |
| Node | ^22.19 || >=24 |
| Profiles | headless, web |
dsh is pre-release; APIs may drift. Pins @deepseek-ai/* to 0.1.0-rc.6.
# install (git, no npm release needed)
dsh plugin --profile web add github:fly3366/DeepJIT
# disable for one profile
dsh plugin --profile web remove deepjit
# fully remove local data
rm -rf ~/.dsh/deepjit
dsh plugin --profile headless add github:fly3366/DeepJIT
DEEPSEEK_API_KEY=... dsh --profile headless "read package.json and tsconfig.json, then summarize"
# repeat similar tasks; deepjit mines and compiles hot flows automatically
dsh --profile headless "use deepjit_status to list compiled artifacts"
Override in cordis.patch.yml or a profile patch. Key options (full list in
src/config.ts):
| Key | Default | Description |
|---|---|---|
enabled | true | master switch |
summarizeIntervalMs | 600000 | JIT cycle (mine + compile) |
minRepeat | 3 | min occurrences for a hot sequence |
argumentAware | false | include sorted arg-key signatures in mined sequences |
minFlowSteps | 2 | min tool steps a flow must have to be compiled |
minPatternValue | 6 | min value score (count × steps) to justify a compile |
flushBatchSize | 200 | trace rows per batched SQLite write |
maxPendingCalls | 10000 | cap for in-memory pending/raw maps (bounds memory) |
minerMaxRows | 20000 | max trace rows read per session per mining cycle |
transcriptMaxRows | 2000 | max tool rows read per compile transcript |
gcEnabled / gcStaleMs / gcProtectMs | true / 14d / 1d | GC: disable artifacts unused beyond gcStaleMs after a gcProtectMs grace |
dryRun | false | publish artifacts as disabled; enable manually via deepjit_status |
traceRetentionMs / patternRetentionMs | 7d / 7d | prune trace rows / stale uncompiled patterns older than this |
deoptMinUses / deoptMaxSuccessRate | 5 / 0.5 | disable a flow used ≥N times with success rate ≤ this (deoptimization) |
qualityMinUses / minQuality | 5 / 0 |
Sensitive: no keys are stored. The compile call uses dsh's credential service
or the launching environment's DEEPSEEK_API_KEY.
~/.dsh/deepjit/ (SQLite traces, skills, flows, log);
reads session JSONL via ctx.sessionPersistence for compile drill-down.ctx.llm (DeepSeek provider); no other network access.ctx.tools.execute and the normal permission gates.gen_ai.*: system/model/usage tokens) for each
LLM call. Read counters via deepjit_status {action:"metrics"}; spans export via
dsh-o11y-plugin when present.~/.dsh/deepjit/deepjit.log. Database: ~/.dsh/deepjit/deepjit.db.MISSING_CREDENTIAL → export DEEPSEEK_API_KEY or store it in dsh's Models page.TRANSPORT/NO_ADAPTER on compile → usually a transient LLM call failure; deepjit retries and falls back to the next cycle.dsh plugin --profile <p> remove deepjit, then rm -rf ~/.dsh/deepjit.npm install && npm test # node:test, run natively via Node type stripping
npm run typecheck && npm run build
See CONTRIBUTING.md and AGENTS.md.
MIT. Report vulnerabilities privately per SECURITY.md.
| disable active artifacts used ≥N times whose quality score < minQuality (0 = off) |
promoteMinUses / promoteMinSuccessRate | 5 / 0.8 | recompile a hot, reliable skill's pattern as a flow (promotion) |
llmProvider / llmModel | deepseek-official / (session) | compile model; empty = reuse session model |
locale | auto | en / zh / auto (dsh locale → LANG → English) |