feat: M1 — 立项→写章草稿(SSE)→自动保存;连一家 provider
- 薄自建 LLM 网关:OpenAI 兼容适配器(DeepSeek) + instructor 结构化输出 + usage_ledger 记账 + 档位路由 - 记忆服务 assemble:确定性选择(显式+主角+近况) + 渲染卡 + 缓存断点(中性文本) - LangGraph 写章节点 + Postgres checkpointer + SSE 归一(token/done/error) - API:立项 + 写章 draft(SSE) + PUT 自动保存 + 提供商凭据(Fernet 加密/测试连接) - 前端:AppShell + 作品库 + 5 步立项向导 + 写作工作台(流式打字机+自动保存) + 设置页 - M1 E2E:真实 DB + mock 网关零 token 走通闭环
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packages/core/pyproject.toml
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26
packages/core/pyproject.toml
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[project]
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name = "ww-core"
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version = "0.0.0"
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requires-python = ">=3.12"
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dependencies = [
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"langgraph>=0.2.40",
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"langgraph-checkpoint-postgres>=2.0",
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"pydantic>=2.7",
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"ww-shared",
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"ww-config",
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"ww-db",
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"ww-llm-gateway",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["ww_core"]
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[tool.uv.sources]
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ww-shared = { workspace = true }
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ww-config = { workspace = true }
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ww-db = { workspace = true }
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ww-llm-gateway = { workspace = true }
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