Files
AstrBot/astrbot/core/tools/registry.py
Soulter 2472a12671 feat: filesystem grep, read, write, edit file and workspace support (#7402)
* feat: filesystem grep, read, edit file

* feat: add file write tool and enhance file read functionality

* feat: enhance tool prompt formatting and add escaped text decoding for file editing

* feat: remove redundant safe path tests from security restrictions

* feat: implement file read tool with support for text and image files, including validation for large files

* feat: add file read utilities and integrate with filesystem tools

* refactor: move computer tools to builtin tools registry

* refactor: remove unused plugin_context parameter from _apply_sandbox_tools

* feat: supports to display enabled builtin tools in configs

* feat: add tooltip for disabled builtin tools and update localization strings

* feat: add workspace extra prompt handling in message processing

* feat: add ripgrep installation to Dockerfile

* perf: shell executed in workspace dir in local env

* feat: enhance file reading capabilities to support PDF and DOCX parsing, including workspace storage for long documents

* feat: update converted text notice to suggest using grep for large files

* feat: implement handling for large tool results with overflow file writing and read tool integration

* fix: test

* feat: enhance onboarding steps to include computer access configuration and related help information

* feat: add support for additional temporary path in restricted environment checks

* feat: update computer access hints and add detailed configuration instructions
2026-04-11 17:01:54 +08:00

329 lines
10 KiB
Python

from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass
from importlib import import_module
from typing import Any, TypeVar
from astrbot.core.agent.tool import FunctionTool
TFunctionTool = TypeVar("TFunctionTool", bound=type[FunctionTool])
_BUILTIN_TOOL_MODULES = (
"astrbot.core.tools.computer_tools",
"astrbot.core.tools.cron_tools",
"astrbot.core.tools.knowledge_base_tools",
"astrbot.core.tools.message_tools",
"astrbot.core.tools.web_search_tools",
)
_builtin_tool_classes_by_name: dict[str, type[FunctionTool]] = {}
_builtin_tool_names_by_class: dict[type[FunctionTool], str] = {}
_builtin_tools_loaded = False
_MISSING = object()
@dataclass(frozen=True)
class BuiltinToolConfigCondition:
key: str
operator: str
expected: Any = None
message: str | None = None
def evaluate(self, config: dict[str, Any]) -> dict[str, Any]:
actual = _get_config_value(config, self.key)
if self.operator == "equals":
matched = actual == self.expected
elif self.operator == "in":
expected_values = tuple(self.expected or ())
matched = actual in expected_values
elif self.operator == "truthy":
matched = bool(actual)
elif self.operator == "custom":
matched = bool(self.expected)
else:
raise ValueError(
f"Unsupported builtin tool config operator: {self.operator}"
)
return {
"key": self.key,
"operator": self.operator,
"expected": _json_safe(self.expected),
"actual": _json_safe(None if actual is _MISSING else actual),
"matched": matched,
"message": self.message,
}
@dataclass(frozen=True)
class BuiltinToolConfigRule:
conditions: tuple[BuiltinToolConfigCondition, ...] = ()
evaluator: Callable[[dict[str, Any]], list[dict[str, Any]]] | None = None
def evaluate(self, config: dict[str, Any]) -> list[dict[str, Any]]:
if self.evaluator is not None:
return self.evaluator(config)
return [condition.evaluate(config) for condition in self.conditions]
def _get_config_value(config: dict[str, Any], key_path: str) -> Any:
current: Any = config
for segment in key_path.split("."):
if not isinstance(current, dict) or segment not in current:
return _MISSING
current = current[segment]
return current
def _json_safe(value: Any) -> Any:
if isinstance(value, tuple):
return [_json_safe(item) for item in value]
if isinstance(value, list):
return [_json_safe(item) for item in value]
if isinstance(value, dict):
return {key: _json_safe(val) for key, val in value.items()}
return value
def _equals(key: str, expected: Any) -> BuiltinToolConfigCondition:
return BuiltinToolConfigCondition(key=key, operator="equals", expected=expected)
def _in(key: str, expected: tuple[Any, ...]) -> BuiltinToolConfigCondition:
return BuiltinToolConfigCondition(key=key, operator="in", expected=expected)
def _custom_condition(key: str, *, matched: bool, message: str) -> dict[str, Any]:
return {
"key": key,
"operator": "custom",
"expected": None,
"actual": None,
"matched": matched,
"message": message,
}
def _build_rule_from_config_map(
config_map: dict[str, Any],
) -> BuiltinToolConfigRule:
conditions: list[BuiltinToolConfigCondition] = []
for key, expected in config_map.items():
if isinstance(expected, tuple):
conditions.append(_in(key, expected))
else:
conditions.append(_equals(key, expected))
return BuiltinToolConfigRule(conditions=tuple(conditions))
def _evaluate_send_message_tool(config: dict[str, Any]) -> list[dict[str, Any]]:
platform_configs = config.get("platform", [])
if not isinstance(platform_configs, list):
return [
_custom_condition(
"platform",
matched=False,
message="No enabled platform in this config supports proactive messaging.",
)
]
for platform_cfg in platform_configs:
if not isinstance(platform_cfg, dict):
continue
if platform_cfg.get("enable", False) is False:
continue
platform_type = str(platform_cfg.get("type", "")).strip()
platform_id = str(platform_cfg.get("id", "")).strip() or platform_type
if not platform_type:
continue
if platform_type in {"wecom", "weixin_official_account"}:
continue
if platform_type == "wecom_ai_bot":
webhook = str(platform_cfg.get("msg_push_webhook_url", "")).strip()
if not webhook:
continue
return [
_custom_condition(
"platform[].type",
matched=True,
message=(
f"Enabled platform `{platform_id}` uses `wecom_ai_bot`, which supports proactive messaging "
"when `platform[].msg_push_webhook_url` is configured."
),
),
BuiltinToolConfigCondition(
key="platform[].msg_push_webhook_url",
operator="truthy",
).evaluate({"platform[]": {"msg_push_webhook_url": webhook}}),
]
return [
_custom_condition(
"platform[].type",
matched=True,
message=(
f"Enabled platform `{platform_id}` (`{platform_type}`) supports proactive messaging."
),
)
]
return [
_custom_condition(
"platform",
matched=False,
message="No enabled platform in this config supports proactive messaging.",
)
]
_BUILTIN_TOOL_CONFIG_RULES: dict[str, BuiltinToolConfigRule] = {}
def _register_builtin_tool_config_rule(
tool_names: tuple[str, ...],
rule: BuiltinToolConfigRule,
) -> None:
for tool_name in tool_names:
_BUILTIN_TOOL_CONFIG_RULES[tool_name] = rule
_register_builtin_tool_config_rule(
("send_message_to_user",),
BuiltinToolConfigRule(evaluator=_evaluate_send_message_tool),
)
def _resolve_builtin_tool_name(tool_cls: type[FunctionTool]) -> str:
tool_name = getattr(tool_cls, "name", None)
if isinstance(tool_name, str) and tool_name:
return tool_name
dataclass_fields = getattr(tool_cls, "__dataclass_fields__", {})
name_field = dataclass_fields.get("name")
if name_field is not None and isinstance(name_field.default, str):
return name_field.default
raise ValueError(
f"Builtin tool class {tool_cls.__module__}.{tool_cls.__name__} does not define a valid name.",
)
def builtin_tool(
tool_cls: TFunctionTool | None = None,
*,
config: dict[str, Any] | None = None,
) -> TFunctionTool | Callable[[TFunctionTool], TFunctionTool]:
def _register(cls: TFunctionTool) -> TFunctionTool:
tool_name = _resolve_builtin_tool_name(cls)
existing = _builtin_tool_classes_by_name.get(tool_name)
if existing is not None and existing is not cls:
raise ValueError(
f"Builtin tool name conflict detected: {tool_name} is already registered by "
f"{existing.__module__}.{existing.__name__}.",
)
_builtin_tool_classes_by_name[tool_name] = cls
_builtin_tool_names_by_class[cls] = tool_name
if config is not None:
_BUILTIN_TOOL_CONFIG_RULES[tool_name] = _build_rule_from_config_map(config)
return cls
if tool_cls is None:
return _register
return _register(tool_cls)
def ensure_builtin_tools_loaded() -> None:
global _builtin_tools_loaded
if _builtin_tools_loaded:
return
for module_name in _BUILTIN_TOOL_MODULES:
import_module(module_name)
_builtin_tools_loaded = True
def get_builtin_tool_class(name: str) -> type[FunctionTool] | None:
ensure_builtin_tools_loaded()
return _builtin_tool_classes_by_name.get(name)
def get_builtin_tool_name(tool_cls: type[FunctionTool]) -> str | None:
ensure_builtin_tools_loaded()
return _builtin_tool_names_by_class.get(tool_cls)
def iter_builtin_tool_classes() -> tuple[type[FunctionTool], ...]:
ensure_builtin_tools_loaded()
return tuple(_builtin_tool_classes_by_name.values())
def get_builtin_tool_config_rule(name: str) -> BuiltinToolConfigRule | None:
ensure_builtin_tools_loaded()
return _BUILTIN_TOOL_CONFIG_RULES.get(name)
def get_builtin_tool_config_statuses(
tool_name: str,
config_entries: list[dict[str, Any]],
) -> list[dict[str, Any]]:
rule = get_builtin_tool_config_rule(tool_name)
if rule is None:
return []
statuses: list[dict[str, Any]] = []
for entry in config_entries:
config = entry.get("config")
if not isinstance(config, dict):
continue
conditions = rule.evaluate(config)
enabled = bool(conditions) and all(
bool(condition.get("matched")) for condition in conditions
)
statuses.append(
{
"conf_id": entry.get("conf_id"),
"conf_name": entry.get("conf_name"),
"enabled": enabled,
"matched_conditions": [
condition for condition in conditions if condition.get("matched")
],
"failed_conditions": [
condition
for condition in conditions
if not condition.get("matched")
],
}
)
return statuses
def get_builtin_tool_config_tags(
tool_name: str,
config_entries: list[dict[str, Any]],
) -> list[dict[str, Any]]:
return [
status
for status in get_builtin_tool_config_statuses(tool_name, config_entries)
if status["enabled"]
]
__all__ = [
"builtin_tool",
"ensure_builtin_tools_loaded",
"get_builtin_tool_config_rule",
"get_builtin_tool_config_statuses",
"get_builtin_tool_config_tags",
"get_builtin_tool_class",
"get_builtin_tool_name",
"iter_builtin_tool_classes",
]