chore: import upstream snapshot with attribution
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"""Default chat tools — config-free tools on by default in chats."""
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from __future__ import annotations
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import importlib
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import inspect
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import logging
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import uuid
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from typing import Any, Dict, List, Optional
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from application.core.settings import settings
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logger = logging.getLogger(__name__)
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# Fixed namespace — never regenerate; produced ids are persisted.
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_DEFAULT_TOOL_NAMESPACE = uuid.UUID("6b1d3f2a-9c84-4d17-bf6e-2a0c5e8d4471")
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# Tool names whose storage tables FK ``tool_id`` to ``user_tools.id``;
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# a synthetic id has no row, so a write would FK-violate. Schema-rot
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# guard: ``tests.agents.test_default_tools.TestFkBoundToolsIsInSync``.
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_FK_BOUND_TOOLS = frozenset({"notes", "todo_list"})
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# Tools that should NEVER appear in a headless run (scheduled or webhook).
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# ``scheduler`` only makes sense from an interactive chat — letting an LLM
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# call ``schedule_task`` from a scheduled run chains new schedules each fire,
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# bounded only by ``SCHEDULE_MAX_PER_USER`` (cost foot-gun, confusing UX).
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_HEADLESS_EXCLUDED_TOOLS = frozenset({"scheduler"})
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# Agent-selectable builtins: hidden from the Add-Tool catalog (internal=True)
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# and exposed to the agent picker via the same synthetic-id machinery as
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# default tools. Names may overlap with DEFAULT_CHAT_TOOLS (e.g. ``scheduler``)
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# — both registries share ``_DEFAULT_TOOL_NAMESPACE`` so the same uuid5
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# resolves either way (the dual-flag row carries ``default`` AND ``builtin``).
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# ``code_executor`` and ``artifact_generator`` are builtin-only (not default-on):
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# both render/execute through a running sandbox runner, so they are opt-in per
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# agent, but staying registered keeps their synthetic ids resolvable (an agent
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# that enabled one never silently loses it) and keeps them in the agent picker.
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BUILTIN_AGENT_TOOLS: tuple = (
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"scheduler",
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"read_document",
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"code_executor",
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"artifact_generator",
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)
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# Builtins shown only in the workflow-node tool picker, never the classic
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# agent picker. The synthesized row carries ``workflow_only`` so the frontend
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# can filter; execution still reuses the builtin synthetic-id path.
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WORKFLOW_ONLY_BUILTINS = frozenset({"read_document"})
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_tool_cache: Dict[str, Optional[Any]] = {}
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_ids_cache: Dict[tuple, Dict[str, str]] = {}
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_id_set_cache: Dict[tuple, frozenset] = {}
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_loaded_cache: Dict[tuple, List[str]] = {}
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_builtin_ids_cache: Dict[tuple, Dict[str, str]] = {}
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_builtin_id_set_cache: Dict[tuple, frozenset] = {}
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_builtin_loaded_cache: Dict[tuple, List[str]] = {}
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def _load_tool(tool_name: str) -> Optional[Any]:
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"""Return a metadata-only instance of a tool, or None if it has no class."""
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# Imports just the named module (not the whole package) — avoids the
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# circular import via ``mcp_tool`` → ``application.api.user``.
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if tool_name in _tool_cache:
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return _tool_cache[tool_name]
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from application.agents.tools.base import Tool
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instance: Optional[Any] = None
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try:
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module = importlib.import_module(f"application.agents.tools.{tool_name}")
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except ModuleNotFoundError:
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_tool_cache[tool_name] = None
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return None
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for _, obj in inspect.getmembers(module, inspect.isclass):
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if issubclass(obj, Tool) and obj is not Tool:
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try:
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instance = obj({})
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except Exception:
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logger.warning(
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"DEFAULT_CHAT_TOOLS entry %r failed to instantiate; skipping.",
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tool_name,
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)
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instance = None
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break
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_tool_cache[tool_name] = instance
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return instance
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def default_tool_id(tool_name: str) -> str:
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"""Return the deterministic synthetic id for a default tool name."""
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return str(uuid.uuid5(_DEFAULT_TOOL_NAMESPACE, tool_name))
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def default_tool_ids() -> Dict[str, str]:
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"""Map each configured default-tool name to its synthetic id (memoized)."""
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key = tuple(settings.DEFAULT_CHAT_TOOLS)
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cached = _ids_cache.get(key)
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if cached is None:
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cached = {name: default_tool_id(name) for name in key}
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_ids_cache[key] = cached
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return cached
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def is_default_tool_id(tool_id: Any) -> bool:
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"""Return True if ``tool_id`` is a synthetic default-tool id."""
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if not tool_id:
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return False
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key = tuple(settings.DEFAULT_CHAT_TOOLS)
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cached = _id_set_cache.get(key)
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if cached is None:
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cached = frozenset(default_tool_ids().values())
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_id_set_cache[key] = cached
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return str(tool_id) in cached
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def default_tool_name_for_id(tool_id: Any) -> Optional[str]:
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"""Return the default-tool name for a synthetic id, or None."""
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target = str(tool_id) if tool_id else ""
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for name, synthetic_id in default_tool_ids().items():
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if synthetic_id == target:
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return name
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return None
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def builtin_agent_tool_ids() -> Dict[str, str]:
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"""Map each agent-selectable builtin to its synthetic id (memoized)."""
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key = tuple(BUILTIN_AGENT_TOOLS)
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cached = _builtin_ids_cache.get(key)
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if cached is None:
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cached = {name: default_tool_id(name) for name in key}
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_builtin_ids_cache[key] = cached
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return cached
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def is_builtin_agent_tool_id(tool_id: Any) -> bool:
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"""Return True if ``tool_id`` is an agent-selectable builtin synthetic id."""
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if not tool_id:
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return False
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key = tuple(BUILTIN_AGENT_TOOLS)
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cached = _builtin_id_set_cache.get(key)
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if cached is None:
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cached = frozenset(builtin_agent_tool_ids().values())
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_builtin_id_set_cache[key] = cached
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return str(tool_id) in cached
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def builtin_agent_tool_name_for_id(tool_id: Any) -> Optional[str]:
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"""Return the builtin tool name for a synthetic id, or None."""
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target = str(tool_id) if tool_id else ""
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for name, synthetic_id in builtin_agent_tool_ids().items():
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if synthetic_id == target:
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return name
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return None
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def synthesized_tool_name_for_id(tool_id: Any) -> Optional[str]:
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"""Return the tool name for any synthetic id (default or builtin), or None."""
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return default_tool_name_for_id(tool_id) or builtin_agent_tool_name_for_id(tool_id)
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def is_synthesized_tool_id(tool_id: Any) -> bool:
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"""Return True for any synthetic id (default chat or agent-builtin)."""
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return is_default_tool_id(tool_id) or is_builtin_agent_tool_id(tool_id)
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def loaded_default_tools() -> List[str]:
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"""Return configured default-tool names that resolve to a loaded tool."""
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# Silent + memoized — runs per request; the one-time skip notice
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# for unimplemented names lives in ``validate_default_chat_tools``.
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key = tuple(settings.DEFAULT_CHAT_TOOLS)
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cached = _loaded_cache.get(key)
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if cached is None:
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cached = [name for name in key if _load_tool(name) is not None]
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_loaded_cache[key] = cached
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return cached
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def loaded_builtin_agent_tools() -> List[str]:
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"""Return builtin agent-tool names that resolve to a loaded tool."""
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key = tuple(BUILTIN_AGENT_TOOLS)
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cached = _builtin_loaded_cache.get(key)
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if cached is None:
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cached = [name for name in key if _load_tool(name) is not None]
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_builtin_loaded_cache[key] = cached
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return cached
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def validate_default_chat_tools() -> List[str]:
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"""Validate ``DEFAULT_CHAT_TOOLS`` at startup; return the usable names."""
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skipped = [
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name for name in settings.DEFAULT_CHAT_TOOLS if _load_tool(name) is None
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]
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if skipped:
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logger.debug(
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"DEFAULT_CHAT_TOOLS entries with no loaded tool, skipped: %s. "
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"Each activates automatically once its tool exists.",
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", ".join(skipped),
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)
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usable = loaded_default_tools()
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for name in usable:
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if name in _FK_BOUND_TOOLS:
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raise ValueError(
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f"DEFAULT_CHAT_TOOLS entry {name!r} has a storage table "
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f"that foreign-keys tool_id to user_tools; a default tool "
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f"has a synthetic id with no user_tools row, so it would "
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f"fail at write time. It cannot be defaulted on."
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)
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requirements = _load_tool(name).get_config_requirements() or {}
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required = [
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key for key, spec in requirements.items()
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if isinstance(spec, dict) and spec.get("required")
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]
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if required:
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raise ValueError(
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f"DEFAULT_CHAT_TOOLS entry {name!r} requires config "
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f"fields {required}; only config-free tools may be "
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"defaulted on."
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)
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if usable:
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logger.info("Default chat tools active: %s", ", ".join(usable))
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return usable
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def _tool_display(tool_name: str) -> str:
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"""Return the human-readable display name from the tool docstring."""
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tool = _load_tool(tool_name)
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doc = (tool.__doc__ or "").strip() if tool else ""
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first_line = doc.split("\n", 1)[0].strip() if doc else ""
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return first_line or tool_name
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def _tool_description(tool_name: str) -> str:
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"""Return the tool description (docstring lines after the first)."""
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tool = _load_tool(tool_name)
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doc = (tool.__doc__ or "").strip() if tool else ""
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parts = doc.split("\n", 1)
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return parts[1].strip() if len(parts) > 1 else ""
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def synthesize_default_tool(tool_name: str) -> Optional[Dict[str, Any]]:
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"""Build an in-memory ``user_tools``-shaped row for a default tool."""
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tool = _load_tool(tool_name)
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if tool is None:
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return None
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synthetic_id = default_tool_id(tool_name)
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return {
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"id": synthetic_id,
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"_id": synthetic_id,
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"name": tool_name,
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"display_name": _tool_display(tool_name),
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"custom_name": "",
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"description": _tool_description(tool_name),
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"config": {},
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"config_requirements": {},
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"actions": tool.get_actions_metadata() or [],
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"status": True,
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"default": True,
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}
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def synthesize_builtin_agent_tool(tool_name: str) -> Optional[Dict[str, Any]]:
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"""Build an in-memory ``user_tools``-shaped row for a builtin agent tool."""
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tool = _load_tool(tool_name)
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if tool is None:
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return None
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synthetic_id = default_tool_id(tool_name)
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return {
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"id": synthetic_id,
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"_id": synthetic_id,
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"name": tool_name,
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"display_name": _tool_display(tool_name),
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"custom_name": "",
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"description": _tool_description(tool_name),
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"config": {},
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"config_requirements": {},
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"actions": tool.get_actions_metadata() or [],
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"status": True,
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"default": False,
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"builtin": True,
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"workflow_only": tool_name in WORKFLOW_ONLY_BUILTINS,
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}
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def synthesize_tool_by_name(tool_name: str) -> Optional[Dict[str, Any]]:
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"""Synthesize the row for any default or builtin tool name."""
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if tool_name in BUILTIN_AGENT_TOOLS:
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return synthesize_builtin_agent_tool(tool_name)
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return synthesize_default_tool(tool_name)
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def disabled_default_tools(user_doc: Optional[Dict[str, Any]]) -> List[str]:
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"""Return the user's opt-out list from ``tool_preferences``."""
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if not isinstance(user_doc, dict):
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return []
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prefs = user_doc.get("tool_preferences") or {}
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if not isinstance(prefs, dict):
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return []
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disabled = prefs.get("disabled_default_tools") or []
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if not isinstance(disabled, list):
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return []
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return [str(name) for name in disabled]
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def synthesized_default_tools(
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user_doc: Optional[Dict[str, Any]] = None,
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*,
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headless: bool = False,
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) -> List[Dict[str, Any]]:
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"""Return synthesized default-tool rows for an agentless chat."""
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# Agent-bound chats must NOT call this — they resolve exactly
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# ``agents.tools``. Disabled defaults are dropped. ``headless=True``
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# additionally drops chat-only tools (e.g. ``scheduler``) so a scheduled
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# / webhook LLM can't re-schedule itself.
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disabled = set(disabled_default_tools(user_doc))
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rows: List[Dict[str, Any]] = []
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for name in loaded_default_tools():
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if name in disabled:
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continue
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if headless and name in _HEADLESS_EXCLUDED_TOOLS:
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continue
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row = synthesize_default_tool(name)
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if row is not None:
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rows.append(row)
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return rows
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def is_headless_excluded_tool(tool_name: Optional[str]) -> bool:
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"""Return True if ``tool_name`` must be hidden from headless runs."""
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return bool(tool_name) and tool_name in _HEADLESS_EXCLUDED_TOOLS
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def default_tools_for_management(
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user_doc: Optional[Dict[str, Any]] = None,
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) -> List[Dict[str, Any]]:
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"""Return every loaded default tool with its on/off ``status``."""
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# Unlike ``synthesized_default_tools`` (chat toolset), this keeps
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# disabled tools so the management UI can render their toggle.
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disabled = set(disabled_default_tools(user_doc))
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rows: List[Dict[str, Any]] = []
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for name in loaded_default_tools():
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row = synthesize_default_tool(name)
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if row is None:
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continue
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row["status"] = name not in disabled
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rows.append(row)
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return rows
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def builtin_agent_tools_for_management() -> List[Dict[str, Any]]:
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"""Return every loaded agent-builtin tool for the agent picker (no per-user state)."""
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rows: List[Dict[str, Any]] = []
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for name in loaded_builtin_agent_tools():
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row = synthesize_builtin_agent_tool(name)
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if row is None:
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continue
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rows.append(row)
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return rows
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def resolve_tool_by_id(
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tool_id: Any,
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user: Optional[str],
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*,
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user_tools_repo: Any = None,
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) -> Optional[Dict[str, Any]]:
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"""Resolve a tool by id: default/builtin synthetic id, else user_tools row.
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Dual-registered tools (e.g. ``scheduler``) get both flags on the resolved
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row so callers can branch on either path without losing the discriminator.
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"""
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default_name = default_tool_name_for_id(tool_id)
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builtin_name = builtin_agent_tool_name_for_id(tool_id)
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if default_name is not None and builtin_name is not None:
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row = synthesize_default_tool(default_name) or {}
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row["builtin"] = True
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return row or None
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if default_name is not None:
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return synthesize_default_tool(default_name)
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if builtin_name is not None:
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return synthesize_builtin_agent_tool(builtin_name)
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if user_tools_repo is None or not user:
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return None
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return user_tools_repo.get_any(str(tool_id), user)
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