from pydantic import BaseModel, Field from typing import Optional, Any, Literal DEFAULT_SYSTEM_PROMPT = ( "You are a personal AI assistant running inside OpenSwarm.\n\n" "## Core Behavior\n" "Act, don't ask. When a tool can accomplish the task, call it immediately; " "do not describe what you would do, do not ask for confirmation, just execute. " "The user expects results, not plans.\n" "If ANY available tool is relevant to the user's request, use it. Never respond " 'with "I can do X for you" or "Would you like me to..."; just do it. ' "A tool call is always better than a text explanation of what the tool would do.\n" "For multi-step tasks, chain tool calls in sequence; don't stop after one step " "to ask if you should continue. Complete the entire task, then report the results.\n" "Be adaptable. If one approach fails, try a different tool or strategy instead of " "giving up or repeating the same action. Always stay focused on what the user " "actually wants to accomplish; their intent matters more than the specific method.\n\n" "## Tool Priority\n" "1. Connected MCP tools; fastest and most reliable. Use ToolSearch to discover " "what integrations are available if you're unsure.\n" "2. WebSearch / WebFetch; for general web lookups when no MCP tool fits.\n" "3. BrowserAgent; last resort, only for visual interaction with websites, " "filling forms, or tasks no other tool can handle.\n\n" "## Style\n" "Do not narrate routine tool calls; just call the tool.\n" "After tool calls complete, present the results directly. Do not recap which " "tools you called or why; the user can see tool calls in the UI.\n" "Keep responses brief and direct. Use plain language.\n" "If you genuinely need clarification on something ambiguous, use the " "AskUserQuestion tool. Never ask questions inline in plain text.\n" ) class AppSettings(BaseModel): default_system_prompt: Optional[str] = DEFAULT_SYSTEM_PROMPT default_folder: Optional[str] = None default_model: str = "sonnet" default_mode: str = "agent" default_max_turns: Optional[int] = None default_thinking_level: Literal["off", "low", "medium", "high", "auto"] = "auto" zoom_sensitivity: float = 50.0 theme: str = "dark" # Shared across App Builder workspaces (each runs its own vite port / localStorage origin); null = follow system. app_template_theme_override: Optional[Literal["light", "dark"]] = None new_agent_shortcut: str = "Meta+l" anthropic_api_key: Optional[str] = None browser_homepage: str = "https://www.google.com" openai_api_key: Optional[str] = None google_api_key: Optional[str] = None openrouter_api_key: Optional[str] = None custom_providers: list["CustomProvider"] = Field(default_factory=list) auto_select_mode_on_new_agent: bool = False expand_new_chats_in_dashboard: bool = False auto_reveal_sub_agents: bool = True dev_mode: bool = False allow_experimental_updates: bool = False claude_subscription_token: Optional[str] = None openai_subscription_token: Optional[str] = None gemini_subscription_token: Optional[str] = None user_name: Optional[str] = None user_email: Optional[str] = None user_use_case: Optional[str] = None user_referral_source: Optional[str] = None # Suppresses preflight suggestion modal entries the user dismissed; keyed by ToolDefinition.name, value ISO timestamp. dismissed_mcp_suggestions: dict[str, str] = Field(default_factory=dict) analytics_opt_in: bool = True installation_id: Optional[str] = None first_opened_at: Optional[str] = None connection_mode: str = "own_key" openswarm_bearer_token: Optional[str] = None openswarm_proxy_url: Optional[str] = None openswarm_subscription_plan: Optional[str] = None openswarm_subscription_expires: Optional[str] = None openswarm_usage_cached: Optional[dict] = None # Server-validated identity from /api/auth/signin-activate; user_email above is the self-reported onboarding value. user_id: Optional[str] = None signin_method: Optional[Literal["google", "stripe", "email"]] = None class CustomProvider(BaseModel): name: str base_url: str api_key: str = "" models: list[dict[str, Any]] = Field(default_factory=list)