deer-flow/backend/pyproject.toml
greatmengqi 27b66d6753 feat(auth): authentication module with multi-tenant isolation (RFC-001)
Introduce an always-on auth layer with auto-created admin on first boot,
multi-tenant isolation for threads/stores, and a full setup/login flow.

Backend
- JWT access tokens with `ver` field for stale-token rejection; bump on
  password/email change
- Password hashing, HttpOnly+Secure cookies (Secure derived from request
  scheme at runtime)
- CSRF middleware covering both REST and LangGraph routes
- IP-based login rate limiting (5 attempts / 5-min lockout) with bounded
  dict growth and X-Forwarded-For bypass fix
- Multi-worker-safe admin auto-creation (single DB write, WAL once)
- needs_setup + token_version on User model; SQLite schema migration
- Thread/store isolation by owner; orphan thread migration on first admin
  registration
- thread_id validated as UUID to prevent log injection
- CLI tool to reset admin password
- Decorator-based authz module extracted from auth core

Frontend
- Login and setup pages with SSR guard for needs_setup flow
- Account settings page (change password / email)
- AuthProvider + route guards; skips redirect when no users registered
- i18n (en-US / zh-CN) for auth surfaces
- Typed auth API client; parseAuthError unwraps FastAPI detail envelope

Infra & tooling
- Unified `serve.sh` with gateway mode + auto dep install
- Public PyPI uv.toml pin for CI compatibility
- Regenerated uv.lock with public index

Tests
- HTTP vs HTTPS cookie security tests
- Auth middleware, rate limiter, CSRF, setup flow coverage
2026-04-08 00:31:43 +08:00

33 lines
785 B
TOML

[project]
name = "deer-flow"
version = "0.1.0"
description = "LangGraph-based AI agent system with sandbox execution capabilities"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"deerflow-harness",
"fastapi>=0.115.0",
"httpx>=0.28.0",
"python-multipart>=0.0.20",
"sse-starlette>=2.1.0",
"uvicorn[standard]>=0.34.0",
"lark-oapi>=1.4.0",
"slack-sdk>=3.33.0",
"python-telegram-bot>=21.0",
"langgraph-sdk>=0.1.51",
"markdown-to-mrkdwn>=0.3.1",
"wecom-aibot-python-sdk>=0.1.6",
"bcrypt>=4.0.0",
"pyjwt>=2.9.0",
"email-validator>=2.0.0",
]
[dependency-groups]
dev = ["pytest>=8.0.0", "ruff>=0.14.11"]
[tool.uv.workspace]
members = ["packages/harness"]
[tool.uv.sources]
deerflow-harness = { workspace = true }