77da63edacc7a530cffd2feb223c6fd3fee89c2f
ci / vet-and-test (pull_request) Successful in 41s
Why: User rulings 1 and 3. The direct conversation path exposed only run_shell/run_python, so any file edit meant rewriting and re-running whole generation scripts (diagnosis: 24 calls with 9 failures in one turn, 6KB scripts regenerated 8 times). The kernel already ships line-numbered reads, exact edit/multi_edit with read-before-write, grep and glob; they were wired only into the squad path. Deliverables had no editable source: docx output came from one-shot python scripts, so "make section 3 more detailed" rebuilt everything. Now: WorkspaceToolsCheckpointed (sandbox = conversation workspace, checkpoint hooks wired) is registered into the direct run and its decls join the tool surface (plan mode keeps the read-only subset). Word deliverables get a markdown-source pipeline - python3 -m housestyle.build renders .md deterministically via docx_kit and runs lint + outline on every build (write-time diagnostics, exit 1 on error so the model fixes the source and rebuilds). run_python kits remain for xlsx/pptx/images (ruling 3). base-tools/base-deliverables prompts and the house-style SKILL document the new loop. Evidence: SELF - TestDirectRunExposesKernelWorkspaceTools (read->edit->grep against the real sandbox FS), TestDirectRunWithoutSandboxHidesKernelTools, three new BuildTests in recipes (renders+lint passes, heading-skip errors exit 1, CLI entry); go vet + go test ./... pass; live before/after on the golden task set recorded on the phase03 task card per the policy clause. Impact: Direct conversations can now read and edit workspace files surgically; docx deliverables become edit-source + rebuild instead of regenerate. No contract or storage changes.
Agent-System-Backend
对话系统后端:Go 模块化单体,默认构建为单二进制(go:embed 内嵌前端与嵌入式 SQLite 存储)。组合 Agent-Native / Agent-Squad / Agent-Intent 生态,依赖 agent-system-core 契约。
契约与架构见 Agent-System-Documents 设计方案与架构文档;开发规范见 development-guidelines(Dev 仓 development/guidelines)。本仓为 Agent-System 多仓组合的组成部分。
Description
对话系统后端:会话与流式管道、智能体运行时与画像、工具/上下文/文档解析/检索/设置管理、插件宿主(组合 Agent-Native/Squad/Intent);依赖 Agent-System-Core 契约,默认单二进制非容器部署。
26 MiB
Languages
Go
98.5%
Python
1.4%