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https://github.com/bytedance/deer-flow.git
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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
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@@ -43,5 +43,5 @@ You have access to the sandbox environment:
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tools=["bash", "ls", "read_file", "write_file", "str_replace"], # Sandbox tools only
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disallowed_tools=["task", "ask_clarification", "present_files"],
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model="inherit",
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max_turns=30,
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max_turns=60,
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)
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@@ -44,5 +44,5 @@ You have access to the same sandbox environment as the parent agent:
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tools=None, # Inherit all tools from parent
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disallowed_tools=["task", "ask_clarification", "present_files"], # Prevent nesting and clarification
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model="inherit",
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max_turns=50,
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max_turns=100,
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)
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@@ -28,9 +28,27 @@ def get_subagent_config(name: str) -> SubagentConfig | None:
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app_config = get_subagents_app_config()
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effective_timeout = app_config.get_timeout_for(name)
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effective_max_turns = app_config.get_max_turns_for(name, config.max_turns)
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overrides = {}
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if effective_timeout != config.timeout_seconds:
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logger.debug(f"Subagent '{name}': timeout overridden by config.yaml ({config.timeout_seconds}s -> {effective_timeout}s)")
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config = replace(config, timeout_seconds=effective_timeout)
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logger.debug(
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"Subagent '%s': timeout overridden by config.yaml (%ss -> %ss)",
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name,
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config.timeout_seconds,
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effective_timeout,
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)
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overrides["timeout_seconds"] = effective_timeout
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if effective_max_turns != config.max_turns:
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logger.debug(
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"Subagent '%s': max_turns overridden by config.yaml (%s -> %s)",
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name,
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config.max_turns,
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effective_max_turns,
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)
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overrides["max_turns"] = effective_max_turns
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if overrides:
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config = replace(config, **overrides)
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return config
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