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