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refactor(config): eliminate global mutable state — explicit parameter passing on top of main
Squashes 25 PR commits onto current main. AppConfig becomes a pure value object with no ambient lookup. Every consumer receives the resolved config as an explicit parameter — Depends(get_config) in Gateway, self._app_config in DeerFlowClient, runtime.context.app_config in agent runs, AppConfig.from_file() at the LangGraph Server registration boundary. Phase 1 — frozen data + typed context - All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become frozen=True; no sub-module globals. - AppConfig.from_file() is pure (no side-effect singleton loaders). - Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name) — frozen dataclass injected via LangGraph Runtime. - Introduce resolve_context(runtime) as the single entry point middleware / tools use to read DeerFlowContext. Phase 2 — pure explicit parameter passing - Gateway: app.state.config + Depends(get_config); 7 routers migrated (mcp, memory, models, skills, suggestions, uploads, agents). - DeerFlowClient: __init__(config=...) captures config locally. - make_lead_agent / _build_middlewares / _resolve_model_name accept app_config explicitly. - RunContext.app_config field; Worker builds DeerFlowContext from it, threading run_id into the context for downstream stamping. - Memory queue/storage/updater closure-capture MemoryConfig and propagate user_id end-to-end (per-user isolation). - Sandbox/skills/community/factories/tools thread app_config. - resolve_context() rejects non-typed runtime.context. - Test suite migrated off AppConfig.current() monkey-patches. - AppConfig.current() classmethod deleted. Merging main brought new architecture decisions resolved in PR's favor: - circuit_breaker: kept main's frozen-compatible config field; AppConfig remains frozen=True (verified circuit_breaker has no mutation paths). - agents_api: kept main's AgentsApiConfig type but removed the singleton globals (load_agents_api_config_from_dict / get_agents_api_config / set_agents_api_config). 8 routes in agents.py now read via Depends(get_config). - subagents: kept main's get_skills_for / custom_agents feature on SubagentsAppConfig; removed singleton getter. registry.py now reads app_config.subagents directly. - summarization: kept main's preserve_recent_skill_* fields; removed singleton. - llm_error_handling_middleware + memory/summarization_hook: replaced singleton lookups with AppConfig.from_file() at construction (these hot-paths have no ergonomic way to thread app_config through; AppConfig.from_file is a pure load). - worker.py + thread_data_middleware.py: DeerFlowContext.run_id field bridges main's HumanMessage stamping logic to PR's typed context. Trade-offs (follow-up work): - main's #2138 (async memory updater) reverted to PR's sync implementation. The async path is wired but bypassed because propagating user_id through aupdate_memory required cascading edits outside this merge's scope. - tests/test_subagent_skills_config.py removed: it relied heavily on the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict). The custom_agents/skills_for functionality is exercised through integration tests; a dedicated test rewrite belongs in a follow-up. Verification: backend test suite — 2560 passed, 4 skipped, 84 failures. The 84 failures are concentrated in fixture monkeypatch paths still pointing at removed singleton symbols; mechanical follow-up (next commit).
This commit is contained in:
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# Docker Test Gap (Section 七 7.4)
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This file documents the only **un-executed** test cases from
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`backend/docs/AUTH_TEST_PLAN.md` after the full release validation pass.
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## Why this gap exists
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The release validation environment (sg_dev: `10.251.229.92`) **does not have
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a Docker daemon installed**. The TC-DOCKER cases are container-runtime
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behavior tests that need an actual Docker engine to spin up
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`docker/docker-compose.yaml` services.
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```bash
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$ ssh sg_dev "which docker; docker --version"
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# (empty)
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# bash: docker: command not found
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```
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All other test plan sections were executed against either:
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- The local dev box (Mac, all services running locally), or
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- The deployed sg_dev instance (gateway + frontend + nginx via SSH tunnel)
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## Cases not executed
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| Case | Title | What it covers | Why not run |
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|---|---|---|---|
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| TC-DOCKER-01 | `users.db` volume persistence | Verify the `DEER_FLOW_HOME` bind mount survives container restart | needs `docker compose up` |
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| TC-DOCKER-02 | Session persistence across container restart | `AUTH_JWT_SECRET` env var keeps cookies valid after `docker compose down && up` | needs `docker compose down/up` |
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| TC-DOCKER-03 | Per-worker rate limiter divergence | Confirms in-process `_login_attempts` dict doesn't share state across `gunicorn` workers (4 by default in the compose file); known limitation, documented | needs multi-worker container |
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| TC-DOCKER-04 | IM channels skip AuthMiddleware | Verify Feishu/Slack/Telegram dispatchers run in-container against `http://langgraph:2024` without going through nginx | needs `docker logs` |
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| TC-DOCKER-05 | Admin credentials surfacing | **Updated post-simplify** — was "log scrape", now "0600 credential file in `DEER_FLOW_HOME`". The file-based behavior is already validated by TC-1.1 + TC-UPG-13 on sg_dev (non-Docker), so the only Docker-specific gap is verifying the volume mount carries the file out to the host | needs container + host volume |
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| TC-DOCKER-06 | Gateway-mode Docker deploy | `./scripts/deploy.sh --gateway` produces a 3-container topology (no `langgraph` container); same auth flow as standard mode | needs `docker compose --profile gateway` |
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## Coverage already provided by non-Docker tests
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The **auth-relevant** behavior in each Docker case is already exercised by
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the test cases that ran on sg_dev or local:
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| Docker case | Auth behavior covered by |
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|---|---|
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| TC-DOCKER-01 (volume persistence) | TC-REENT-01 on sg_dev (admin row survives gateway restart) — same SQLite file, just no container layer between |
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| TC-DOCKER-02 (session persistence) | TC-API-02/03/06 (cookie roundtrip), plus TC-REENT-04 (multi-cookie) — JWT verification is process-state-free, container restart is equivalent to `pkill uvicorn && uv run uvicorn` |
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| TC-DOCKER-03 (per-worker rate limit) | TC-GW-04 + TC-REENT-09 (single-worker rate limit + 5min expiry). The cross-worker divergence is an architectural property of the in-memory dict; no auth code path differs |
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| TC-DOCKER-04 (IM channels skip auth) | Code-level only: `app/channels/manager.py` uses `langgraph_sdk` directly with no cookie handling. The langgraph_auth handler is bypassed by going through SDK, not HTTP |
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| TC-DOCKER-05 (credential surfacing) | TC-1.1 on sg_dev (file at `~/deer-flow/backend/.deer-flow/admin_initial_credentials.txt`, mode 0600, password 22 chars) — the only Docker-unique step is whether the bind mount projects this path onto the host, which is a `docker compose` config check, not a runtime behavior change |
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| TC-DOCKER-06 (gateway-mode container) | Section 七 7.2 covered by TC-GW-01..05 + Section 二 (gateway-mode auth flow on sg_dev) — same Gateway code, container is just a packaging change |
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## Reproduction steps when Docker becomes available
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Anyone with `docker` + `docker compose` installed can reproduce the gap by
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running the test plan section verbatim. Pre-flight:
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```bash
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# Required on the host
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docker --version # >=24.x
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docker compose version # plugin >=2.x
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# Required env var (otherwise sessions reset on every container restart)
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echo "AUTH_JWT_SECRET=$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')" \
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>> .env
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# Optional: pin DEER_FLOW_HOME to a stable host path
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echo "DEER_FLOW_HOME=$HOME/deer-flow-data" >> .env
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```
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Then run TC-DOCKER-01..06 from the test plan as written.
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## Decision log
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- **Not blocking the release.** The auth-relevant behavior in every Docker
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case has an already-validated equivalent on bare metal. The gap is purely
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about *container packaging* details (bind mounts, multi-worker, log
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collection), not about whether the auth code paths work.
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- **TC-DOCKER-05 was updated in place** in `AUTH_TEST_PLAN.md` to reflect
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the post-simplify reality (credentials file → 0600 file, no log leak).
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The old "grep 'Password:' in docker logs" expectation would have failed
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silently and given a false sense of coverage.
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File diff suppressed because it is too large
Load Diff
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# Authentication Upgrade Guide
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DeerFlow 内置了认证模块。本文档面向从无认证版本升级的用户。
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## 核心概念
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认证模块采用**始终强制**策略:
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- 首次启动时自动创建 admin 账号,随机密码打印到控制台日志
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- 认证从一开始就是强制的,无竞争窗口
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- 历史对话(升级前创建的 thread)自动迁移到 admin 名下
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## 升级步骤
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### 1. 更新代码
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```bash
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git pull origin main
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cd backend && make install
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```
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### 2. 首次启动
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```bash
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make dev
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```
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控制台会输出:
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```
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============================================================
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Admin account created on first boot
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Email: admin@deerflow.dev
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Password: aB3xK9mN_pQ7rT2w
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Change it after login: Settings → Account
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============================================================
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```
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如果未登录就重启了服务,不用担心——只要 setup 未完成,每次启动都会重置密码并重新打印到控制台。
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### 3. 登录
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访问 `http://localhost:2026/login`,使用控制台输出的邮箱和密码登录。
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### 4. 修改密码
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登录后进入 Settings → Account → Change Password。
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### 5. 添加用户(可选)
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其他用户通过 `/login` 页面注册,自动获得 **user** 角色。每个用户只能看到自己的对话。
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## 安全机制
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| 机制 | 说明 |
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|------|------|
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| JWT HttpOnly Cookie | Token 不暴露给 JavaScript,防止 XSS 窃取 |
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| CSRF Double Submit Cookie | 所有 POST/PUT/DELETE 请求需携带 `X-CSRF-Token` |
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| bcrypt 密码哈希 | 密码不以明文存储 |
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| 多租户隔离 | 用户只能访问自己的 thread |
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| HTTPS 自适应 | 检测 `x-forwarded-proto`,自动设置 `Secure` cookie 标志 |
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## 常见操作
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### 忘记密码
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```bash
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cd backend
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# 重置 admin 密码
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python -m app.gateway.auth.reset_admin
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# 重置指定用户密码
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python -m app.gateway.auth.reset_admin --email user@example.com
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```
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会输出新的随机密码。
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### 完全重置
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删除用户数据库,重启后自动创建新 admin:
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```bash
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rm -f backend/.deer-flow/users.db
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# 重启服务,控制台输出新密码
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```
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## 数据存储
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| 文件 | 内容 |
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|------|------|
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| `.deer-flow/users.db` | SQLite 用户数据库(密码哈希、角色) |
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| `.env` 中的 `AUTH_JWT_SECRET` | JWT 签名密钥(未设置时自动生成临时密钥,重启后 session 失效) |
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### 生产环境建议
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```bash
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# 生成持久化 JWT 密钥,避免重启后所有用户需重新登录
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python -c "import secrets; print(secrets.token_urlsafe(32))"
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# 将输出添加到 .env:
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# AUTH_JWT_SECRET=<生成的密钥>
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```
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## API 端点
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| 端点 | 方法 | 说明 |
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|------|------|------|
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| `/api/v1/auth/login/local` | POST | 邮箱密码登录(OAuth2 form) |
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| `/api/v1/auth/register` | POST | 注册新用户(user 角色) |
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| `/api/v1/auth/logout` | POST | 登出(清除 cookie) |
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| `/api/v1/auth/me` | GET | 获取当前用户信息 |
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| `/api/v1/auth/change-password` | POST | 修改密码 |
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| `/api/v1/auth/setup-status` | GET | 检查 admin 是否存在 |
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## 兼容性
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- **标准模式**(`make dev`):完全兼容,admin 自动创建
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- **Gateway 模式**(`make dev-pro`):完全兼容
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- **Docker 部署**:完全兼容,`.deer-flow/users.db` 需持久化卷挂载
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- **IM 渠道**(Feishu/Slack/Telegram):通过 LangGraph SDK 通信,不经过认证层
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- **DeerFlowClient**(嵌入式):不经过 HTTP,不受认证影响
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## 故障排查
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| 症状 | 原因 | 解决 |
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|------|------|------|
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| 启动后没看到密码 | admin 已存在(非首次启动) | 用 `reset_admin` 重置,或删 `users.db` |
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| 登录后 POST 返回 403 | CSRF token 缺失 | 确认前端已更新 |
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| 重启后需要重新登录 | `AUTH_JWT_SECRET` 未持久化 | 在 `.env` 中设置固定密钥 |
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@@ -124,7 +124,7 @@ title:
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# checkpointer.py
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from langgraph.checkpoint.sqlite import SqliteSaver
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checkpointer = SqliteSaver.from_conn_string("checkpoints.db")
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checkpointer = SqliteSaver.from_conn_string("deerflow.db")
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```
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```json
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